Bump version: 0.22.0-beta.2 → 0.22.0-beta.3

fix: can't do structured FTS in python (#2300 )
missed to support it in `search()` API and there were some pydantic errors  ## Summary by CodeRabbit - **New Features** - Enhanced full-text search capabilities by incorporating additional parameters, enabling more flexible query definitions. - Extended table search functionality to support full-text queries alongside existing search types. - **Tests** - Introduced new tests that validate both structured and conditional full-text search behaviors. - Expanded test coverage for various query types, including MatchQuery, BoostQuery, MultiMatchQuery, and PhraseQuery. - **Bug Fixes** - Fixed a logic issue in query processing to ensure correct handling of full-text search queries.  --------- Signed-off-by: BubbleCal <bubble-cal@outlook.com>
2025-12-23 05:19:58 +00:00 · 2025-04-02 09:27:55 +00:00 · 2025-04-02 17:27:15 +08:00 · 2025-04-01 14:44:27 -07:00 · 2025-04-01 17:28:57 +00:00 · 2025-04-01 17:28:40 +00:00
73 changed files with 2560 additions and 589 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.18.2-beta.0"
+current_version = "0.19.0-beta.2"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/.github/workflows/npm-publish.yml
+++ b/.github/workflows/npm-publish.yml
@@ -130,29 +130,24 @@ jobs:
              set -e &&
              apt-get update &&
              apt-get install -y protobuf-compiler pkg-config
-
-          # TODO: re-enable x64 musl builds. I could not figure out why, but it
-          # consistently made GHA runners non-responsive at the end of build. Example:
-          # https://github.com/lancedb/lancedb/actions/runs/13980431071/job/39144319470?pr=2250
-
-          # - target: x86_64-unknown-linux-musl
-          #   # This one seems to need some extra memory
-          #   host: ubuntu-2404-8x-x64
-          #   # https://github.com/napi-rs/napi-rs/blob/main/alpine.Dockerfile
-          #   docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-alpine
-          #   features: ","
-          #   pre_build: |-
-          #     set -e &&
-          #     apk add protobuf-dev curl &&
-          #     ln -s /usr/lib/gcc/x86_64-alpine-linux-musl/14.2.0/crtbeginS.o /usr/lib/crtbeginS.o &&
-          #     ln -s /usr/lib/libgcc_s.so /usr/lib/libgcc.so
-
+          - target: x86_64-unknown-linux-musl
+            # This one seems to need some extra memory
+            host: ubuntu-2404-8x-x64
+            # https://github.com/napi-rs/napi-rs/blob/main/alpine.Dockerfile
+            docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-alpine
+            features: fp16kernels
+            pre_build: |-
+              set -e &&
+              apk add protobuf-dev curl &&
+              ln -s /usr/lib/gcc/x86_64-alpine-linux-musl/14.2.0/crtbeginS.o /usr/lib/crtbeginS.o &&
+              ln -s /usr/lib/libgcc_s.so /usr/lib/libgcc.so &&
+              CC=gcc &&
+              CXX=g++
          - target: aarch64-unknown-linux-gnu
            host: ubuntu-2404-8x-x64
            # https://github.com/napi-rs/napi-rs/blob/main/debian-aarch64.Dockerfile
            docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-debian-aarch64
-            # TODO: enable fp16kernels after https://github.com/lancedb/lance/pull/3559
-            features: ","
+            features: "fp16kernels"
            pre_build: |-
              set -e &&
              apt-get update &&
@@ -170,8 +165,8 @@ jobs:
              set -e &&
              apk add protobuf-dev &&
              rustup target add aarch64-unknown-linux-musl &&
-              export CC="/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc" &&
-              export CXX="/aarch64-linux-musl-cross/bin/aarch64-linux-musl-g++"
+              export CC_aarch64_unknown_linux_musl=aarch64-linux-musl-gcc &&
+              export CXX_aarch64_unknown_linux_musl=aarch64-linux-musl-g++
    name: build - ${{ matrix.settings.target }}
    runs-on: ${{ matrix.settings.host }}
    defaults:
@@ -535,6 +530,10 @@ jobs:
          for filename in *.tgz; do
            npm publish $PUBLISH_ARGS $filename
          done
+      - name: Deprecate
+        # We need to deprecate the old package to avoid confusion.
+        # Each time we publish a new version, it gets undeprecated.
+        run: npm deprecate vectordb "Use @lancedb/lancedb instead."
      - name: Notify Slack Action
        uses: ravsamhq/notify-slack-action@2.3.0
        if: ${{ always() }}
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -390,9 +390,9 @@ dependencies = [

 [[package]]
 name = "async-compression"
-version = "0.4.21"
+version = "0.4.22"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c0cf008e5e1a9e9e22a7d3c9a4992e21a350290069e36d8fb72304ed17e8f2d2"
+checksum = "59a194f9d963d8099596278594b3107448656ba73831c9d8c783e613ce86da64"
 dependencies = [
 "flate2",
 "futures-core",
@@ -512,9 +512,9 @@ checksum = "ace50bade8e6234aa140d9a2f552bbee1db4d353f69b8217bc503490fc1a9f26"

 [[package]]
 name = "aws-config"
-version = "1.6.0"
+version = "1.6.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6a84fe2c5e9965fba0fbc2001db252f1d57527d82a905cca85127df227bca748"
+checksum = "8c39646d1a6b51240a1a23bb57ea4eebede7e16fbc237fdc876980233dcecb4f"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -603,9 +603,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-bedrockruntime"
-version = "1.77.0"
+version = "1.78.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4198493316dab97e1fed7716f3823462b73a34c518f4ee7b9799921645e232e5"
+checksum = "6457fd617f20075dd2d5c9f6c3cb09815e6b83ab61c55499055499da9e04478d"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -627,9 +627,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-dynamodb"
-version = "1.69.0"
+version = "1.70.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c42f454f50a050aaa3f3d200a3ac072e48c18c4bb5356c38be7eee1da1439a43"
+checksum = "4ac281113af7f8700394bf25eb272b842b7ca088810e96c928f812282f2e6f44"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -650,9 +650,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-kms"
-version = "1.63.0"
+version = "1.64.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a971bfe62ca4a228627a1b74a87a7a142979b20b168d2e2884f4893212ebb715"
+checksum = "c23289881f4071421bbef3688ca43501c4fede796e0cbca942a54f0eb6906fbc"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -664,6 +664,7 @@ dependencies = [
 "aws-smithy-types",
 "aws-types",
 "bytes",
+ "fastrand",
 "http 0.2.12",
 "once_cell",
 "regex-lite",
@@ -672,9 +673,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-s3"
-version = "1.79.0"
+version = "1.80.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a8f63ba8f5fca32061c7d62d866ef65470edde38d4c5f8a0ebb8ff40a0521e1c"
+checksum = "3a36b09e8273d89c4f35ea122b83b30e48f906f3b644460d72a7d3656d1be93d"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -707,9 +708,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-sso"
-version = "1.62.0"
+version = "1.64.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1d5330ad4e8a1ff49e9f26b738611caa72b105c41d41733801d1a36e8f9de936"
+checksum = "02d4bdb0e5f80f0689e61c77ab678b2b9304af329616af38aef5b6b967b8e736"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -721,6 +722,7 @@ dependencies = [
 "aws-smithy-types",
 "aws-types",
 "bytes",
+ "fastrand",
 "http 0.2.12",
 "once_cell",
 "regex-lite",
@@ -729,9 +731,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-ssooidc"
-version = "1.63.0"
+version = "1.65.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7956b1a85d49082347a7d17daa2e32df191f3e23c03d47294b99f95413026a78"
+checksum = "acbbb3ce8da257aedbccdcb1aadafbbb6a5fe9adf445db0e1ea897bdc7e22d08"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -743,6 +745,7 @@ dependencies = [
 "aws-smithy-types",
 "aws-types",
 "bytes",
+ "fastrand",
 "http 0.2.12",
 "once_cell",
 "regex-lite",
@@ -751,9 +754,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-sts"
-version = "1.63.0"
+version = "1.65.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "065c533fbe6f84962af33fcf02b0350b7c1f79285baab5924615d2be3b232855"
+checksum = "96a78a8f50a1630db757b60f679c8226a8a70ee2ab5f5e6e51dc67f6c61c7cfd"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -766,6 +769,7 @@ dependencies = [
 "aws-smithy-types",
 "aws-smithy-xml",
 "aws-types",
+ "fastrand",
 "http 0.2.12",
 "once_cell",
 "regex-lite",
@@ -869,9 +873,9 @@ dependencies = [

 [[package]]
 name = "aws-smithy-http-client"
-version = "1.0.0"
+version = "1.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0497ef5d53065b7cd6a35e9c1654bd1fefeae5c52900d91d1b188b0af0f29324"
+checksum = "8aff1159006441d02e57204bf57a1b890ba68bedb6904ffd2873c1c4c11c546b"
 dependencies = [
 "aws-smithy-async",
 "aws-smithy-runtime-api",
@@ -904,6 +908,16 @@ dependencies = [
 "aws-smithy-types",
 ]

+[[package]]
+name = "aws-smithy-observability"
+version = "0.1.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "445d065e76bc1ef54963db400319f1dd3ebb3e0a74af20f7f7630625b0cc7cc0"
+dependencies = [
+ "aws-smithy-runtime-api",
+ "once_cell",
+]
+
 [[package]]
 name = "aws-smithy-query"
 version = "0.60.7"
@@ -916,13 +930,14 @@ dependencies = [

 [[package]]
 name = "aws-smithy-runtime"
-version = "1.8.0"
+version = "1.8.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f6328865e36c6fd970094ead6b05efd047d3a80ec5fc3be5e743910da9f2ebf8"
+checksum = "0152749e17ce4d1b47c7747bdfec09dac1ccafdcbc741ebf9daa2a373356730f"
 dependencies = [
 "aws-smithy-async",
 "aws-smithy-http",
 "aws-smithy-http-client",
+ "aws-smithy-observability",
 "aws-smithy-runtime-api",
 "aws-smithy-types",
 "bytes",
@@ -1801,27 +1816,30 @@ dependencies = [

 [[package]]
 name = "datafusion"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "eae420e7a5b0b7f1c39364cc76cbcd0f5fdc416b2514ae3847c2676bbd60702a"
+checksum = "914e6f9525599579abbd90b0f7a55afcaaaa40350b9e9ed52563f126dfe45fd3"
 dependencies = [
 "arrow",
- "arrow-array",
 "arrow-ipc",
 "arrow-schema",
 "async-trait",
 "bytes",
 "chrono",
 "datafusion-catalog",
+ "datafusion-catalog-listing",
 "datafusion-common",
 "datafusion-common-runtime",
+ "datafusion-datasource",
 "datafusion-execution",
 "datafusion-expr",
+ "datafusion-expr-common",
 "datafusion-functions",
 "datafusion-functions-aggregate",
 "datafusion-functions-nested",
 "datafusion-functions-table",
 "datafusion-functions-window",
+ "datafusion-macros",
 "datafusion-optimizer",
 "datafusion-physical-expr",
 "datafusion-physical-expr-common",
@@ -1829,14 +1847,13 @@ dependencies = [
 "datafusion-physical-plan",
 "datafusion-sql",
 "futures",
- "glob",
 "itertools 0.14.0",
 "log",
 "object_store",
 "parking_lot",
 "rand 0.8.5",
 "regex",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 "tempfile",
 "tokio",
 "url",
@@ -1845,9 +1862,9 @@ dependencies = [

 [[package]]
 name = "datafusion-catalog"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6f27987bc22b810939e8dfecc55571e9d50355d6ea8ec1c47af8383a76a6d0e1"
+checksum = "998a6549e6ee4ee3980e05590b2960446a56b343ea30199ef38acd0e0b9036e2"
 dependencies = [
 "arrow",
 "async-trait",
@@ -1861,21 +1878,39 @@ dependencies = [
 "itertools 0.14.0",
 "log",
 "parking_lot",
- "sqlparser 0.53.0",
+]
+
+[[package]]
+name = "datafusion-catalog-listing"
+version = "46.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a5ac10096a5b3c0d8a227176c0e543606860842e943594ccddb45cf42a526e43"
+dependencies = [
+ "arrow",
+ "async-trait",
+ "datafusion-catalog",
+ "datafusion-common",
+ "datafusion-datasource",
+ "datafusion-execution",
+ "datafusion-expr",
+ "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
+ "datafusion-physical-plan",
+ "futures",
+ "log",
+ "object_store",
+ "tokio",
 ]

 [[package]]
 name = "datafusion-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e3f6d5b8c9408cc692f7c194b8aa0c0f9b253e065a8d960ad9cdc2a13e697602"
+checksum = "1f53d7ec508e1b3f68bd301cee3f649834fad51eff9240d898a4b2614cfd0a7a"
 dependencies = [
 "ahash",
 "arrow",
- "arrow-array",
- "arrow-buffer",
 "arrow-ipc",
- "arrow-schema",
 "base64 0.22.1",
 "half",
 "hashbrown 0.14.5",
@@ -1884,32 +1919,60 @@ dependencies = [
 "log",
 "object_store",
 "paste",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 "tokio",
 "web-time",
 ]

 [[package]]
 name = "datafusion-common-runtime"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0d4603c8e8a4baf77660ab7074cc66fc15cc8a18f2ce9dfadb755fc6ee294e48"
+checksum = "e0fcf41523b22e14cc349b01526e8b9f59206653037f2949a4adbfde5f8cb668"
 dependencies = [
 "log",
 "tokio",
 ]

 [[package]]
-name = "datafusion-doc"
-version = "45.0.0"
+name = "datafusion-datasource"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e5bf4bc68623a5cf231eed601ed6eb41f46a37c4d15d11a0bff24cbc8396cd66"
+checksum = "cf7f37ad8b6e88b46c7eeab3236147d32ea64b823544f498455a8d9042839c92"
+dependencies = [
+ "arrow",
+ "async-trait",
+ "bytes",
+ "chrono",
+ "datafusion-catalog",
+ "datafusion-common",
+ "datafusion-common-runtime",
+ "datafusion-execution",
+ "datafusion-expr",
+ "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
+ "datafusion-physical-plan",
+ "futures",
+ "glob",
+ "itertools 0.14.0",
+ "log",
+ "object_store",
+ "rand 0.8.5",
+ "tokio",
+ "url",
+]
+
+[[package]]
+name = "datafusion-doc"
+version = "46.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7db7a0239fd060f359dc56c6e7db726abaa92babaed2fb2e91c3a8b2fff8b256"

 [[package]]
 name = "datafusion-execution"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "88b491c012cdf8e051053426013429a76f74ee3c2db68496c79c323ca1084d27"
+checksum = "0938f9e5b6bc5782be4111cdfb70c02b7b5451bf34fd57e4de062a7f7c4e31f1"
 dependencies = [
 "arrow",
 "dashmap",
@@ -1926,9 +1989,9 @@ dependencies = [

 [[package]]
 name = "datafusion-expr"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e5a181408d4fc5dc22f9252781a8f39f2d0e5d1b33ec9bde242844980a2689c1"
+checksum = "b36c28b00b00019a8695ad7f1a53ee1673487b90322ecbd604e2cf32894eb14f"
 dependencies = [
 "arrow",
 "chrono",
@@ -1941,26 +2004,27 @@ dependencies = [
 "indexmap 2.8.0",
 "paste",
 "serde_json",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 ]

 [[package]]
 name = "datafusion-expr-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d1129b48e8534d8c03c6543bcdccef0b55c8ac0c1272a15a56c67068b6eb1885"
+checksum = "18f0a851a436c5a2139189eb4617a54e6a9ccb9edc96c4b3c83b3bb7c58b950e"
 dependencies = [
 "arrow",
 "datafusion-common",
+ "indexmap 2.8.0",
 "itertools 0.14.0",
 "paste",
 ]

 [[package]]
 name = "datafusion-functions"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6125874e4856dfb09b59886784fcb74cde5cfc5930b3a80a1a728ef7a010df6b"
+checksum = "e3196e37d7b65469fb79fee4f05e5bb58a456831035f9a38aa5919aeb3298d40"
 dependencies = [
 "arrow",
 "arrow-buffer",
@@ -1974,7 +2038,6 @@ dependencies = [
 "datafusion-expr",
 "datafusion-expr-common",
 "datafusion-macros",
- "hashbrown 0.14.5",
 "hex",
 "itertools 0.14.0",
 "log",
@@ -1988,14 +2051,12 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-aggregate"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f3add7b1d3888e05e7c95f2b281af900ca69ebdcb21069ba679b33bde8b3b9d6"
+checksum = "adfc2d074d5ee4d9354fdcc9283d5b2b9037849237ddecb8942a29144b77ca05"
 dependencies = [
 "ahash",
 "arrow",
- "arrow-buffer",
- "arrow-schema",
 "datafusion-common",
 "datafusion-doc",
 "datafusion-execution",
@@ -2011,9 +2072,9 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-aggregate-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6e18baa4cfc3d2f144f74148ed68a1f92337f5072b6dde204a0dbbdf3324989c"
+checksum = "1cbceba0f98d921309a9121b702bcd49289d383684cccabf9a92cda1602f3bbb"
 dependencies = [
 "ahash",
 "arrow",
@@ -2024,15 +2085,12 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-nested"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3ec5ee8cecb0dc370291279673097ddabec03a011f73f30d7f1096457127e03e"
+checksum = "170e27ce4baa27113ddf5f77f1a7ec484b0dbeda0c7abbd4bad3fc609c8ab71a"
 dependencies = [
 "arrow",
- "arrow-array",
- "arrow-buffer",
 "arrow-ord",
- "arrow-schema",
 "datafusion-common",
 "datafusion-doc",
 "datafusion-execution",
@@ -2048,9 +2106,9 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-table"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2c403ddd473bbb0952ba880008428b3c7febf0ed3ce1eec35a205db20efb2a36"
+checksum = "7d3a06a7f0817ded87b026a437e7e51de7f59d48173b0a4e803aa896a7bd6bb5"
 dependencies = [
 "arrow",
 "async-trait",
@@ -2064,9 +2122,9 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-window"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1ab18c2fb835614d06a75f24a9e09136d3a8c12a92d97c95a6af316a1787a9c5"
+checksum = "d6c608b66496a1e05e3d196131eb9bebea579eed1f59e88d962baf3dda853bc6"
 dependencies = [
 "datafusion-common",
 "datafusion-doc",
@@ -2081,9 +2139,9 @@ dependencies = [

 [[package]]
 name = "datafusion-functions-window-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a77b73bc15e7d1967121fdc7a55d819bfb9d6c03766a6c322247dce9094a53a4"
+checksum = "da2f9d83348957b4ad0cd87b5cb9445f2651863a36592fe5484d43b49a5f8d82"
 dependencies = [
 "datafusion-common",
 "datafusion-physical-expr-common",
@@ -2091,9 +2149,9 @@ dependencies = [

 [[package]]
 name = "datafusion-macros"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "09369b8d962291e808977cf94d495fd8b5b38647232d7ef562c27ac0f495b0af"
+checksum = "4800e1ff7ecf8f310887e9b54c9c444b8e215ccbc7b21c2f244cfae373b1ece7"
 dependencies = [
 "datafusion-expr",
 "quote",
@@ -2102,9 +2160,9 @@ dependencies = [

 [[package]]
 name = "datafusion-optimizer"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2403a7e4a84637f3de7d8d4d7a9ccc0cc4be92d89b0161ba3ee5be82f0531c54"
+checksum = "971c51c54cd309001376fae752fb15a6b41750b6d1552345c46afbfb6458801b"
 dependencies = [
 "arrow",
 "chrono",
@@ -2120,15 +2178,12 @@ dependencies = [

 [[package]]
 name = "datafusion-physical-expr"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "86ff72ac702b62dbf2650c4e1d715ebd3e4aab14e3885e72e8549e250307347c"
+checksum = "e1447c2c6bc8674a16be4786b4abf528c302803fafa186aa6275692570e64d85"
 dependencies = [
 "ahash",
 "arrow",
- "arrow-array",
- "arrow-buffer",
- "arrow-schema",
 "datafusion-common",
 "datafusion-expr",
 "datafusion-expr-common",
@@ -2145,13 +2200,12 @@ dependencies = [

 [[package]]
 name = "datafusion-physical-expr-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "60982b7d684e25579ee29754b4333057ed62e2cc925383c5f0bd8cab7962f435"
+checksum = "69f8c25dcd069073a75b3d2840a79d0f81e64bdd2c05f2d3d18939afb36a7dcb"
 dependencies = [
 "ahash",
 "arrow",
- "arrow-buffer",
 "datafusion-common",
 "datafusion-expr-common",
 "hashbrown 0.14.5",
@@ -2160,12 +2214,11 @@ dependencies = [

 [[package]]
 name = "datafusion-physical-optimizer"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ac5e85c189d5238a5cf181a624e450c4cd4c66ac77ca551d6f3ff9080bac90bb"
+checksum = "68da5266b5b9847c11d1b3404ee96b1d423814e1973e1ad3789131e5ec912763"
 dependencies = [
 "arrow",
- "arrow-schema",
 "datafusion-common",
 "datafusion-execution",
 "datafusion-expr",
@@ -2173,22 +2226,18 @@ dependencies = [
 "datafusion-physical-expr",
 "datafusion-physical-expr-common",
 "datafusion-physical-plan",
- "futures",
 "itertools 0.14.0",
 "log",
- "url",
 ]

 [[package]]
 name = "datafusion-physical-plan"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c36bf163956d7e2542657c78b3383fdc78f791317ef358a359feffcdb968106f"
+checksum = "88cc160df00e413e370b3b259c8ea7bfbebc134d32de16325950e9e923846b7f"
 dependencies = [
 "ahash",
 "arrow",
- "arrow-array",
- "arrow-buffer",
 "arrow-ord",
 "arrow-schema",
 "async-trait",
@@ -2213,20 +2262,18 @@ dependencies = [

 [[package]]
 name = "datafusion-sql"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e13caa4daede211ecec53c78b13c503b592794d125f9a3cc3afe992edf9e7f43"
+checksum = "325a212b67b677c0eb91447bf9a11b630f9fc4f62d8e5d145bf859f5a6b29e64"
 dependencies = [
 "arrow",
- "arrow-array",
- "arrow-schema",
 "bigdecimal",
 "datafusion-common",
 "datafusion-expr",
 "indexmap 2.8.0",
 "log",
 "regex",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 ]

 [[package]]
@@ -2537,9 +2584,9 @@ dependencies = [

 [[package]]
 name = "event-listener-strategy"
-version = "0.5.3"
+version = "0.5.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3c3e4e0dd3673c1139bf041f3008816d9cf2946bbfac2945c09e523b8d7b05b2"
+checksum = "8be9f3dfaaffdae2972880079a491a1a8bb7cbed0b8dd7a347f668b4150a3b93"
 dependencies = [
 "event-listener 5.4.0",
 "pin-project-lite",
@@ -2672,12 +2719,21 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"

 [[package]]
 name = "fsst"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "rand 0.8.5",
 ]

+[[package]]
+name = "fst"
+version = "0.4.7"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7ab85b9b05e3978cc9a9cf8fea7f01b494e1a09ed3037e16ba39edc7a29eb61a"
+dependencies = [
+ "utf8-ranges",
+]
+
 [[package]]
 name = "funty"
 version = "2.0.0"
@@ -3367,9 +3423,9 @@ dependencies = [

 [[package]]
 name = "icu_locid_transform_data"
-version = "1.5.0"
+version = "1.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fdc8ff3388f852bede6b579ad4e978ab004f139284d7b28715f773507b946f6e"
+checksum = "7515e6d781098bf9f7205ab3fc7e9709d34554ae0b21ddbcb5febfa4bc7df11d"

 [[package]]
 name = "icu_normalizer"
@@ -3391,9 +3447,9 @@ dependencies = [

 [[package]]
 name = "icu_normalizer_data"
-version = "1.5.0"
+version = "1.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f8cafbf7aa791e9b22bec55a167906f9e1215fd475cd22adfcf660e03e989516"
+checksum = "c5e8338228bdc8ab83303f16b797e177953730f601a96c25d10cb3ab0daa0cb7"

 [[package]]
 name = "icu_properties"
@@ -3412,9 +3468,9 @@ dependencies = [

 [[package]]
 name = "icu_properties_data"
-version = "1.5.0"
+version = "1.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "67a8effbc3dd3e4ba1afa8ad918d5684b8868b3b26500753effea8d2eed19569"
+checksum = "85fb8799753b75aee8d2a21d7c14d9f38921b54b3dbda10f5a3c7a7b82dba5e2"

 [[package]]
 name = "icu_provider"
@@ -3651,8 +3707,8 @@ dependencies = [

 [[package]]
 name = "lance"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -3711,8 +3767,8 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -3729,8 +3785,8 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -3766,8 +3822,8 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -3783,6 +3839,7 @@ dependencies = [
 "futures",
 "lance-arrow",
 "lance-core",
+ "lance-datagen",
 "lazy_static",
 "log",
 "prost",
@@ -3791,10 +3848,26 @@ dependencies = [
 "tracing",
 ]

+[[package]]
+name = "lance-datagen"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
+dependencies = [
+ "arrow",
+ "arrow-array",
+ "arrow-cast",
+ "arrow-schema",
+ "chrono",
+ "futures",
+ "hex",
+ "rand 0.8.5",
+ "rand_xoshiro",
+]
+
 [[package]]
 name = "lance-encoding"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrayref",
 "arrow",
@@ -3817,6 +3890,7 @@ dependencies = [
 "lance-core",
 "lazy_static",
 "log",
+ "lz4",
 "num-traits",
 "paste",
 "prost",
@@ -3832,8 +3906,8 @@ dependencies = [

 [[package]]
 name = "lance-file"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -3867,8 +3941,8 @@ dependencies = [

 [[package]]
 name = "lance-index"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -3887,6 +3961,7 @@ dependencies = [
 "datafusion-sql",
 "deepsize",
 "dirs",
+ "fst",
 "futures",
 "half",
 "itertools 0.13.0",
@@ -3920,8 +3995,8 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -3959,8 +4034,8 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow-array",
 "arrow-ord",
@@ -3983,8 +4058,8 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4023,8 +4098,8 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -4035,7 +4110,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4122,7 +4197,7 @@ dependencies = [

 [[package]]
 name = "lancedb-node"
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4147,7 +4222,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4165,7 +4240,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.21.2-beta.0"
+version = "0.22.0-beta.2"
 dependencies = [
 "arrow",
 "env_logger",
@@ -4902,9 +4977,9 @@ dependencies = [

 [[package]]
 name = "once_cell"
-version = "1.21.1"
+version = "1.21.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d75b0bedcc4fe52caa0e03d9f1151a323e4aa5e2d78ba3580400cd3c9e2bc4bc"
+checksum = "42f5e15c9953c5e4ccceeb2e7382a716482c34515315f7b03532b8b4e8393d2d"

 [[package]]
 name = "oneshot"
@@ -5727,9 +5802,9 @@ dependencies = [

 [[package]]
 name = "quick-xml"
-version = "0.37.2"
+version = "0.37.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "165859e9e55f79d67b96c5d96f4e88b6f2695a1972849c15a6a3f5c59fc2c003"
+checksum = "bf763ab1c7a3aa408be466efc86efe35ed1bd3dd74173ed39d6b0d0a6f0ba148"
 dependencies = [
 "memchr",
 "serde",
@@ -5777,9 +5852,9 @@ dependencies = [

 [[package]]
 name = "quinn-udp"
-version = "0.5.10"
+version = "0.5.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e46f3055866785f6b92bc6164b76be02ca8f2eb4b002c0354b28cf4c119e5944"
+checksum = "541d0f57c6ec747a90738a52741d3221f7960e8ac2f0ff4b1a63680e033b4ab5"
 dependencies = [
 "cfg_aliases",
 "libc",
@@ -5880,6 +5955,15 @@ dependencies = [
 "rand 0.8.5",
 ]

+[[package]]
+name = "rand_xoshiro"
+version = "0.6.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6f97cdb2a36ed4183de61b2f824cc45c9f1037f28afe0a322e9fff4c108b5aaa"
+dependencies = [
+ "rand_core 0.6.4",
+]
+
 [[package]]
 name = "random_word"
 version = "0.4.3"
@@ -6269,7 +6353,7 @@ dependencies = [
 "once_cell",
 "ring",
 "rustls-pki-types",
- "rustls-webpki 0.103.0",
+ "rustls-webpki 0.103.1",
 "subtle",
 "zeroize",
 ]
@@ -6337,9 +6421,9 @@ dependencies = [

 [[package]]
 name = "rustls-webpki"
-version = "0.103.0"
+version = "0.103.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0aa4eeac2588ffff23e9d7a7e9b3f971c5fb5b7ebc9452745e0c232c64f83b2f"
+checksum = "fef8b8769aaccf73098557a87cd1816b4f9c7c16811c9c77142aa695c16f2c03"
 dependencies = [
 "aws-lc-rs",
 "ring",
@@ -6766,11 +6850,12 @@ dependencies = [

 [[package]]
 name = "sqlparser"
-version = "0.53.0"
+version = "0.54.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "05a528114c392209b3264855ad491fcce534b94a38771b0a0b97a79379275ce8"
+checksum = "c66e3b7374ad4a6af849b08b3e7a6eda0edbd82f0fd59b57e22671bf16979899"
 dependencies = [
 "log",
+ "recursive",
 "sqlparser_derive",
 ]

@@ -7621,7 +7706,9 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "458f7a779bf54acc9f347480ac654f68407d3aab21269a6e3c9f922acd9e2da9"
 dependencies = [
 "getrandom 0.3.2",
+ "js-sys",
 "serde",
+ "wasm-bindgen",
 ]

 [[package]]
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -21,16 +21,16 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"

 [workspace.dependencies]
-lance = { "version" = "=0.25.1", "features" = [
+lance = { "version" = "=0.25.3", "features" = [
    "dynamodb",
-], tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-io = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-index = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-linalg = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-table = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-testing = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-datafusion = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-encoding = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
+], tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-io = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-index = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-linalg = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-table = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-testing = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-datafusion = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-encoding = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
 # Note that this one does not include pyarrow
 arrow = { version = "54.1", optional = false }
 arrow-array = "54.1"
@@ -41,12 +41,12 @@ arrow-schema = "54.1"
 arrow-arith = "54.1"
 arrow-cast = "54.1"
 async-trait = "0"
-datafusion = { version = "45.0", default-features = false }
-datafusion-catalog = "45.0"
-datafusion-common = { version = "45.0", default-features = false }
-datafusion-execution = "45.0"
-datafusion-expr = "45.0"
-datafusion-physical-plan = "45.0"
+datafusion = { version = "46.0", default-features = false }
+datafusion-catalog = "46.0"
+datafusion-common = { version = "46.0", default-features = false }
+datafusion-execution = "46.0"
+datafusion-expr = "46.0"
+datafusion-physical-plan = "46.0"
 env_logger = "0.11"
 half = { "version" = "=2.4.1", default-features = false, features = [
    "num-traits",
--- a/docs/src/guides/tables.md
+++ b/docs/src/guides/tables.md
@@ -1001,9 +1001,11 @@ In LanceDB OSS, users can set the `read_consistency_interval` parameter on conne

 There are three possible settings for `read_consistency_interval`:

-1. **Unset (default)**: The database does not check for updates to tables made by other processes. This provides the best query performance, but means that clients may not see the most up-to-date data. This setting is suitable for applications where the data does not change during the lifetime of the table reference.
-2. **Zero seconds (Strong consistency)**: The database checks for updates on every read. This provides the strongest consistency guarantees, ensuring that all clients see the latest committed data. However, it has the most overhead. This setting is suitable when consistency matters more than having high QPS.
-3. **Custom interval (Eventual consistency)**: The database checks for updates at a custom interval, such as every 5 seconds. This provides eventual consistency, allowing for some lag between write and read operations. Performance wise, this is a middle ground between strong consistency and no consistency check. This setting is suitable for applications where immediate consistency is not critical, but clients should see updated data eventually.
+1. **Unset**: The database does not check for updates to tables made by other processes. This setting is suitable for applications where the data does not change during the lifetime of the table reference.
+2. **Zero seconds (Strong consistency)**: The database checks for updates on every read. This provides the strongest consistency guarantees, ensuring that all clients see the latest committed data. However, it has the most overhead. This setting is suitable when consistency matters more than having high QPS. For best performance, combine this setting with the storage option `new_table_enable_v2_manifest_paths` set to `true`.
+3. **Custom interval (Eventual consistency, the default)**: The database checks for updates at a custom interval. By default, this is every 5 seconds. This provides eventual consistency, allowing for some lag between write and read operations. Performance wise, this is a middle ground between strong consistency and no consistency check. This setting is suitable for applications where immediate consistency is not critical, but clients should see updated data eventually.
+
+You can always force a synchronization by calling `checkout_latest()` / `checkoutLatest()` on a table.

 !!! tip "Consistency in LanceDB Cloud"

@@ -1041,7 +1043,21 @@ There are three possible settings for `read_consistency_interval`:
        --8<-- "python/python/tests/docs/test_guide_tables.py:table_async_eventual_consistency"
        ```

-    By default, a `Table` will never check for updates from other writers. To manually check for updates you can use `checkout_latest`:
+    For no consistency, use `None`:
+
+    === "Sync API"
+
+        ```python
+        --8<-- "python/python/tests/docs/test_guide_tables.py:table_no_consistency"
+        ```
+
+    === "Async API"
+
+        ```python
+        --8<-- "python/python/tests/docs/test_guide_tables.py:table_async_no_consistency"
+        ```
+
+    To manually check for updates you can use `checkout_latest`:

    === "Sync API"

@@ -1059,15 +1075,25 @@ There are three possible settings for `read_consistency_interval`:
    To set strong consistency, use `0`:

    ```ts
-    const db = await lancedb.connect({ uri: "./.lancedb", readConsistencyInterval: 0 });
-    const tbl = await db.openTable("my_table");
+    --8<-- "nodejs/examples/basic.test.ts:table_strong_consistency"
    ```

    For eventual consistency, specify the update interval as seconds:

    ```ts
-    const db = await lancedb.connect({ uri: "./.lancedb", readConsistencyInterval: 5 });
-    const tbl = await db.openTable("my_table");
+    --8<-- "nodejs/examples/basic.test.ts:table_eventual_consistency"
+    ```
+
+    For no consistency, use `null`:
+
+    ```ts
+    --8<-- "nodejs/examples/basic.test.ts:table_no_consistency"
+    ```
+
+    To manually check for updates you can use `checkoutLatest`:
+
+    ```ts
+    --8<-- "nodejs/examples/basic.test.ts:table_checkout_latest"
    ```

 <!-- Node doesn't yet support the version time travel: https://github.com/lancedb/lancedb/issues/1007
--- a/docs/src/js/classes/BoostQuery.md
+++ b/docs/src/js/classes/BoostQuery.md
@@ -0,0 +1,75 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / BoostQuery
+
+# Class: BoostQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new BoostQuery()
+
+```ts
+new BoostQuery(
+   positive,
+   negative,
+   negativeBoost): BoostQuery
+```
+
+Creates an instance of BoostQuery.
+
+#### Parameters
+
+* **positive**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
+    The positive query that boosts the relevance score.
+
+* **negative**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
+    The negative query that reduces the relevance score.
+
+* **negativeBoost**: `number`
+    The factor by which the negative query reduces the score.
+
+#### Returns
+
+[`BoostQuery`](BoostQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
--- a/docs/src/js/classes/MatchQuery.md
+++ b/docs/src/js/classes/MatchQuery.md
@@ -0,0 +1,83 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / MatchQuery
+
+# Class: MatchQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new MatchQuery()
+
+```ts
+new MatchQuery(
+   query,
+   column,
+   boost,
+   fuzziness,
+   maxExpansions): MatchQuery
+```
+
+Creates an instance of MatchQuery.
+
+#### Parameters
+
+* **query**: `string`
+    The text query to search for.
+
+* **column**: `string`
+    The name of the column to search within.
+
+* **boost**: `number` = `1.0`
+    (Optional) The boost factor to influence the relevance score of this query. Default is `1.0`.
+
+* **fuzziness**: `number` = `0`
+    (Optional) The allowed edit distance for fuzzy matching. Default is `0`.
+
+* **maxExpansions**: `number` = `50`
+    (Optional) The maximum number of terms to consider for fuzzy matching. Default is `50`.
+
+#### Returns
+
+[`MatchQuery`](MatchQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
--- a/docs/src/js/classes/MultiMatchQuery.md
+++ b/docs/src/js/classes/MultiMatchQuery.md
@@ -0,0 +1,77 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / MultiMatchQuery
+
+# Class: MultiMatchQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new MultiMatchQuery()
+
+```ts
+new MultiMatchQuery(
+   query,
+   columns,
+   boosts): MultiMatchQuery
+```
+
+Creates an instance of MultiMatchQuery.
+
+#### Parameters
+
+* **query**: `string`
+    The text query to search for across multiple columns.
+
+* **columns**: `string`[]
+    An array of column names to search within.
+
+* **boosts**: `number`[] = `...`
+    (Optional) An array of boost factors corresponding to each column. Default is an array of 1.0 for each column.
+    The `boosts` array should have the same length as `columns`. If not provided, all columns will have a default boost of 1.0.
+    If the length of `boosts` is less than `columns`, it will be padded with 1.0s.
+
+#### Returns
+
+[`MultiMatchQuery`](MultiMatchQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
--- a/docs/src/js/classes/PhraseQuery.md
+++ b/docs/src/js/classes/PhraseQuery.md
@@ -0,0 +1,69 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / PhraseQuery
+
+# Class: PhraseQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new PhraseQuery()
+
+```ts
+new PhraseQuery(query, column): PhraseQuery
+```
+
+Creates an instance of `PhraseQuery`.
+
+#### Parameters
+
+* **query**: `string`
+    The phrase to search for in the specified column.
+
+* **column**: `string`
+    The name of the column to search within.
+
+#### Returns
+
+[`PhraseQuery`](PhraseQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
--- a/docs/src/js/classes/Query.md
+++ b/docs/src/js/classes/Query.md
@@ -30,6 +30,53 @@ protected inner: Query | Promise<Query>;

 ## Methods

+### analyzePlan()
+
+```ts
+analyzePlan(): Promise<string>
+```
+
+Executes the query and returns the physical query plan annotated with runtime metrics.
+
+This is useful for debugging and performance analysis, as it shows how the query was executed
+and includes metrics such as elapsed time, rows processed, and I/O statistics.
+
+#### Returns
+
+`Promise`&lt;`string`&gt;
+
+A query execution plan with runtime metrics for each step.
+
+#### Example
+
+```ts
+import * as lancedb from "@lancedb/lancedb"
+
+const db = await lancedb.connect("./.lancedb");
+const table = await db.createTable("my_table", [
+  { vector: [1.1, 0.9], id: "1" },
+]);
+
+const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
+
+Example output (with runtime metrics inlined):
+AnalyzeExec verbose=true, metrics=[]
+ ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
+  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
+   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
+    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
+     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
+      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
+       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
+        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
+```
+
+#### Inherited from
+
+[`QueryBase`](QueryBase.md).[`analyzePlan`](QueryBase.md#analyzeplan)
+
+***
+
 ### execute()

 ```ts
@@ -159,7 +206,7 @@ fullTextSearch(query, options?): this

 #### Parameters

-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)

 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;

@@ -262,7 +309,7 @@ nearestToText(query, columns?): Query

 #### Parameters

-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)

 * **columns?**: `string`[]

--- a/docs/src/js/classes/QueryBase.md
+++ b/docs/src/js/classes/QueryBase.md
@@ -36,6 +36,49 @@ protected inner: NativeQueryType | Promise<NativeQueryType>;

 ## Methods

+### analyzePlan()
+
+```ts
+analyzePlan(): Promise<string>
+```
+
+Executes the query and returns the physical query plan annotated with runtime metrics.
+
+This is useful for debugging and performance analysis, as it shows how the query was executed
+and includes metrics such as elapsed time, rows processed, and I/O statistics.
+
+#### Returns
+
+`Promise`&lt;`string`&gt;
+
+A query execution plan with runtime metrics for each step.
+
+#### Example
+
+```ts
+import * as lancedb from "@lancedb/lancedb"
+
+const db = await lancedb.connect("./.lancedb");
+const table = await db.createTable("my_table", [
+  { vector: [1.1, 0.9], id: "1" },
+]);
+
+const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
+
+Example output (with runtime metrics inlined):
+AnalyzeExec verbose=true, metrics=[]
+ ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
+  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
+   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
+    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
+     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
+      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
+       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
+        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
+```
+
+***
+
 ### execute()

 ```ts
@@ -149,7 +192,7 @@ fullTextSearch(query, options?): this

 #### Parameters

-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)

 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;

--- a/docs/src/js/classes/VectorQuery.md
+++ b/docs/src/js/classes/VectorQuery.md
@@ -48,6 +48,53 @@ addQueryVector(vector): VectorQuery

 ***

+### analyzePlan()
+
+```ts
+analyzePlan(): Promise<string>
+```
+
+Executes the query and returns the physical query plan annotated with runtime metrics.
+
+This is useful for debugging and performance analysis, as it shows how the query was executed
+and includes metrics such as elapsed time, rows processed, and I/O statistics.
+
+#### Returns
+
+`Promise`&lt;`string`&gt;
+
+A query execution plan with runtime metrics for each step.
+
+#### Example
+
+```ts
+import * as lancedb from "@lancedb/lancedb"
+
+const db = await lancedb.connect("./.lancedb");
+const table = await db.createTable("my_table", [
+  { vector: [1.1, 0.9], id: "1" },
+]);
+
+const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
+
+Example output (with runtime metrics inlined):
+AnalyzeExec verbose=true, metrics=[]
+ ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
+  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
+   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
+    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
+     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
+      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
+       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
+        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
+```
+
+#### Inherited from
+
+[`QueryBase`](QueryBase.md).[`analyzePlan`](QueryBase.md#analyzeplan)
+
+***
+
 ### bypassVectorIndex()

 ```ts
@@ -300,7 +347,7 @@ fullTextSearch(query, options?): this

 #### Parameters

-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)

 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;

--- a/docs/src/js/enumerations/FullTextQueryType.md
+++ b/docs/src/js/enumerations/FullTextQueryType.md
@@ -0,0 +1,46 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FullTextQueryType
+
+# Enumeration: FullTextQueryType
+
+Enum representing the types of full-text queries supported.
+
+- `Match`: Performs a full-text search for terms in the query string.
+- `MatchPhrase`: Searches for an exact phrase match in the text.
+- `Boost`: Boosts the relevance score of specific terms in the query.
+- `MultiMatch`: Searches across multiple fields for the query terms.
+
+## Enumeration Members
+
+### Boost
+
+```ts
+Boost: "boost";
+```
+
+***
+
+### Match
+
+```ts
+Match: "match";
+```
+
+***
+
+### MatchPhrase
+
+```ts
+MatchPhrase: "match_phrase";
+```
+
+***
+
+### MultiMatch
+
+```ts
+MultiMatch: "multi_match";
+```
--- a/docs/src/js/globals.md
+++ b/docs/src/js/globals.md
@@ -9,12 +9,20 @@
 - [embedding](namespaces/embedding/README.md)
 - [rerankers](namespaces/rerankers/README.md)

+## Enumerations
+
+- [FullTextQueryType](enumerations/FullTextQueryType.md)
+
 ## Classes

+- [BoostQuery](classes/BoostQuery.md)
 - [Connection](classes/Connection.md)
 - [Index](classes/Index.md)
 - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md)
+- [MatchQuery](classes/MatchQuery.md)
 - [MergeInsertBuilder](classes/MergeInsertBuilder.md)
+- [MultiMatchQuery](classes/MultiMatchQuery.md)
+- [PhraseQuery](classes/PhraseQuery.md)
 - [Query](classes/Query.md)
 - [QueryBase](classes/QueryBase.md)
 - [RecordBatchIterator](classes/RecordBatchIterator.md)
@@ -33,6 +41,7 @@
 - [CreateTableOptions](interfaces/CreateTableOptions.md)
 - [ExecutableQuery](interfaces/ExecutableQuery.md)
 - [FtsOptions](interfaces/FtsOptions.md)
+- [FullTextQuery](interfaces/FullTextQuery.md)
 - [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
 - [HnswPqOptions](interfaces/HnswPqOptions.md)
 - [HnswSqOptions](interfaces/HnswSqOptions.md)
--- a/docs/src/js/interfaces/ConnectionOptions.md
+++ b/docs/src/js/interfaces/ConnectionOptions.md
@@ -44,7 +44,7 @@ for testing purposes.
 ### readConsistencyInterval?

 ```ts
-optional readConsistencyInterval: number;
+optional readConsistencyInterval: null | number;
 ```

 (For LanceDB OSS only): The interval, in seconds, at which to check for
--- a/docs/src/js/interfaces/FullTextQuery.md
+++ b/docs/src/js/interfaces/FullTextQuery.md
@@ -0,0 +1,35 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FullTextQuery
+
+# Interface: FullTextQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
--- a/docs/src/troubleshooting.md
+++ b/docs/src/troubleshooting.md
@@ -11,6 +11,7 @@ likely that someone who knows the answer will see your question.
 ## Common issues

 * Multiprocessing with `fork` is not supported. You should use `spawn` instead.
+* Data returned by queries may not reflect the most recent writes, depending on configuration. LanceDB uses eventual consistency by default. See [consistency](/docs/src/guides/tables.md#consistency) for more information.

 ## Enabling logging

@@ -35,3 +36,9 @@ print the resolved query plan. You can use the `explain_plan` method to do this:
 * Python Sync: [LanceQueryBuilder.explain_plan][lancedb.query.LanceQueryBuilder.explain_plan]
 * Python Async: [AsyncQueryBase.explain_plan][lancedb.query.AsyncQueryBase.explain_plan]
 * Node @lancedb/lancedb: [LanceQueryBuilder.explainPlan](/lancedb/js/classes/QueryBase/#explainplan)
+
+To understand how a query was actually executed—including metrics like execution time, number of rows processed, I/O stats, and more—use the analyze_plan method. This executes the query and returns a physical execution plan annotated with runtime metrics, making it especially helpful for performance tuning and debugging.
+
+* Python Sync: [LanceQueryBuilder.analyze_plan][lancedb.query.LanceQueryBuilder.analyze_plan]
+* Python Async: [AsyncQueryBase.analyze_plan][lancedb.query.AsyncQueryBase.analyze_plan]
+* Node @lancedb/lancedb: [LanceQueryBuilder.analyzePlan](/lancedb/js/classes/QueryBase/#analyzePlan)
--- a/java/core/pom.xml
+++ b/java/core/pom.xml
@@ -8,7 +8,7 @@
    <parent>
        <groupId>com.lancedb</groupId>
        <artifactId>lancedb-parent</artifactId>
-        <version>0.18.2-beta.0</version>
+        <version>0.19.0-beta.2</version>
        <relativePath>../pom.xml</relativePath>
    </parent>

--- a/java/pom.xml
+++ b/java/pom.xml
@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.18.2-beta.0</version>
+    <version>0.19.0-beta.2</version>
    <packaging>pom</packaging>

    <name>LanceDB Parent</name>
--- a/node/package-lock.json
+++ b/node/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "vectordb",
-  "version": "0.18.2-beta.0",
+  "version": "0.19.0-beta.2",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "vectordb",
-      "version": "0.18.2-beta.0",
+      "version": "0.19.0-beta.2",
      "cpu": [
        "x64",
        "arm64"
@@ -52,11 +52,11 @@
        "uuid": "^9.0.0"
      },
      "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.18.2-beta.0",
-        "@lancedb/vectordb-darwin-x64": "0.18.2-beta.0",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.18.2-beta.0",
-        "@lancedb/vectordb-linux-x64-gnu": "0.18.2-beta.0",
-        "@lancedb/vectordb-win32-x64-msvc": "0.18.2-beta.0"
+        "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.2",
+        "@lancedb/vectordb-darwin-x64": "0.19.0-beta.2",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.2",
+        "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.2",
+        "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.2"
      },
      "peerDependencies": {
        "@apache-arrow/ts": "^14.0.2",
@@ -327,9 +327,9 @@
      }
    },
    "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.18.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.18.2-beta.0.tgz",
-      "integrity": "sha512-FzIcElkS6R5I5kU1S5m7yLVTB1Duv1XcmZQtVmYl/JjNlfxS1WTtMzdzMqSBFohDcgU2Tkc5+1FpK1B94dUUbg==",
+      "version": "0.19.0-beta.2",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.19.0-beta.2.tgz",
+      "integrity": "sha512-8tmN2DH03ZwPznWpWaCwFzAfPluFj+v4kwp9/JB+TmsH1kXbMt00gpJTgyJzmjkqbeMdeicfWhaZa3agrAUJwA==",
      "cpu": [
        "arm64"
      ],
@@ -340,9 +340,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.18.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.18.2-beta.0.tgz",
-      "integrity": "sha512-jv+XludfLNBDm1DjdqyghwDMtd4E+ygwycQpkpK72wyZSh6Qytrgq+4dNi/zCZ3UChFLbKbIxrVxv9yENQn2Pg==",
+      "version": "0.19.0-beta.2",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.19.0-beta.2.tgz",
+      "integrity": "sha512-xjNYz9gilcQdqm8LQE8DqzYJ1rKD31xkfBnyb+WH0vei6SW4E1cGUQ+O78LfObrp/KF87GzIqF1ZrkcpPkbAEg==",
      "cpu": [
        "x64"
      ],
@@ -353,9 +353,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.18.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.18.2-beta.0.tgz",
-      "integrity": "sha512-8/fBpbNYhhpetf/pZv0DyPnQkeAbsiICMyCoRiNu5auvQK4AsGF1XvLWrDi68u9F0GysBKvuatYuGqa/yh+Anw==",
+      "version": "0.19.0-beta.2",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.19.0-beta.2.tgz",
+      "integrity": "sha512-+dhwMAYf9TprzIxXpmoiwvcWClTHMfA8/g6DL6ZmFffGNk0JOmayv6NUEMmoptFEJnRqb5pBxHRomE1HcDU2vg==",
      "cpu": [
        "arm64"
      ],
@@ -366,9 +366,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.18.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.18.2-beta.0.tgz",
-      "integrity": "sha512-7a1Kc/2V2ff4HlLzXyXVdK0Z0VIFUt50v2SBRdlcycJ0NLW9ZqV+9UjB/NAOwMXVgYd7d3rKjACGkQzkpvcyeg==",
+      "version": "0.19.0-beta.2",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.19.0-beta.2.tgz",
+      "integrity": "sha512-3sbQ5yz/bhbgCV1aPpjT8JamIvCn+CMgLe8SvXlnUURBFMVYs5sRwHjQDlTrgzQbYQtTHUXn1ZILQSwX8Ha5jA==",
      "cpu": [
        "x64"
      ],
@@ -379,9 +379,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.18.2-beta.0",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.18.2-beta.0.tgz",
-      "integrity": "sha512-EeCiSf2RtJMESnkIca28GI6rAStYj2q9sVIyNCXpmIZSkJVpfQ3iswHGAbHrEfaPl0J1Re9cnRHLLuqkumwiIQ==",
+      "version": "0.19.0-beta.2",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.19.0-beta.2.tgz",
+      "integrity": "sha512-6J0QzyUSCiCpFWdIspshljL4xI2ZM0yo/eS9fxk29XYrOhEeh23siVKm3OMVov7uNUsVMe5U/bqGl9WuIOvUkQ==",
      "cpu": [
        "x64"
      ],
@@ -1184,9 +1184,10 @@
      }
    },
    "node_modules/axios": {
-      "version": "1.7.7",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.7.tgz",
-      "integrity": "sha512-S4kL7XrjgBmvdGut0sN3yJxqYzrDOnivkBiN0OFs6hLiUam3UPvswUo0kqGyhqUZGEOytHyumEdXsAkgCOUf3Q==",
+      "version": "1.8.4",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.8.4.tgz",
+      "integrity": "sha512-eBSYY4Y68NNlHbHBMdeDmKNtDgXWhQsJcGqzO3iLUM0GraQFSS9cVgPX5I9b3lbdFKyYoAEGAZF1DwhTaljNAw==",
+      "license": "MIT",
      "dependencies": {
        "follow-redirects": "^1.15.6",
        "form-data": "^4.0.0",
--- a/node/package.json
+++ b/node/package.json
@@ -1,6 +1,6 @@
 {
  "name": "vectordb",
-  "version": "0.18.2-beta.0",
+  "version": "0.19.0-beta.2",
  "description": " Serverless, low-latency vector database for AI applications",
  "private": false,
  "main": "dist/index.js",
@@ -89,10 +89,10 @@
    }
  },
  "optionalDependencies": {
-    "@lancedb/vectordb-darwin-x64": "0.18.2-beta.0",
-    "@lancedb/vectordb-darwin-arm64": "0.18.2-beta.0",
-    "@lancedb/vectordb-linux-x64-gnu": "0.18.2-beta.0",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.18.2-beta.0",
-    "@lancedb/vectordb-win32-x64-msvc": "0.18.2-beta.0"
+    "@lancedb/vectordb-darwin-x64": "0.19.0-beta.2",
+    "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.2",
+    "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.2",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.2",
+    "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.2"
  }
 }
--- a/node/src/integration_test/test.ts
+++ b/node/src/integration_test/test.ts
@@ -110,7 +110,7 @@ describe('LanceDB Mirrored Store Integration test', function () {

      fs.readdir(path.join(mirroredPath, 'data'), { withFileTypes: true }, (err, files) => {
        if (err != null) throw err
-        assert.equal(files.length, 1)
+        assert.equal(files.length, 1, `Found files: ${files.map(f => f.name)}`)
        assert.isTrue(files[0].name.endsWith('.lance'))
      })

--- a/nodejs/Cargo.toml
+++ b/nodejs/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
--- a/nodejs/test/connection.test.ts
+++ b/nodejs/test/connection.test.ts
@@ -17,7 +17,7 @@ describe("when connecting", () => {
  it("should connect", async () => {
    const db = await connect(tmpDir.name);
    expect(db.display()).toBe(
-      `ListingDatabase(uri=${tmpDir.name}, read_consistency_interval=None)`,
+      `ListingDatabase(uri=${tmpDir.name}, read_consistency_interval=5s)`,
    );
  });

--- a/nodejs/test/table.test.ts
+++ b/nodejs/test/table.test.ts
@@ -58,7 +58,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(

    it("be displayable", async () => {
      expect(table.display()).toMatch(
-        /NativeTable\(some_table, uri=.*, read_consistency_interval=None\)/,
+        /NativeTable\(some_table, uri=.*, read_consistency_interval=5s\)/,
      );
      table.close();
      expect(table.display()).toBe("ClosedTable(some_table)");
@@ -633,6 +633,23 @@ describe("When creating an index", () => {
    expect(plan2).not.toMatch("LanceScan");
  });

+  it("should be able to run analyze plan", async () => {
+    await tbl.createIndex("vec");
+    await tbl.add([
+      {
+        id: 300,
+        vec: Array(32)
+          .fill(1)
+          .map(() => Math.random()),
+        tags: [],
+      },
+    ]);
+
+    const plan = await tbl.query().nearestTo(queryVec).analyzePlan();
+    expect(plan).toMatch("AnalyzeExec");
+    expect(plan).toMatch("metrics=");
+  });
+
  it("should be able to query with row id", async () => {
    const results = await tbl
      .query()
@@ -1346,6 +1363,30 @@ describe("when calling explainPlan", () => {
  });
 });

+describe("when calling analyzePlan", () => {
+  let tmpDir: tmp.DirResult;
+  let table: Table;
+  let queryVec: number[];
+  beforeEach(async () => {
+    tmpDir = tmp.dirSync({ unsafeCleanup: true });
+    const con = await connect(tmpDir.name);
+    table = await con.createTable("vectors", [{ id: 1, vector: [1.1, 0.9] }]);
+  });
+
+  afterEach(() => {
+    tmpDir.removeCallback();
+  });
+
+  it("retrieves runtime metrics", async () => {
+    queryVec = Array(2)
+      .fill(1)
+      .map(() => Math.random());
+    const plan = await table.query().nearestTo(queryVec).analyzePlan();
+    console.log("Query Plan:\n", plan); // <--- Print the plan
+    expect(plan).toMatch("AnalyzeExec");
+  });
+});
+
 describe("column name options", () => {
  let tmpDir: tmp.DirResult;
  let table: Table;
--- a/nodejs/examples/basic.test.ts
+++ b/nodejs/examples/basic.test.ts
@@ -202,5 +202,35 @@ test("basic table examples", async () => {
      // --8<-- [end:create_f16_table]
      await db.dropTable("f16_tbl");
    }
+    const uri = databaseDir;
+    await db.createTable("my_table", [{ id: 1 }, { id: 2 }]);
+    {
+      // --8<-- [start:table_strong_consistency]
+      const db = await lancedb.connect({ uri, readConsistencyInterval: 0 });
+      const tbl = await db.openTable("my_table");
+      // --8<-- [end:table_strong_consistency]
+    }
+    {
+      // --8<-- [start:table_eventual_consistency]
+      const db = await lancedb.connect({ uri, readConsistencyInterval: 5 });
+      const tbl = await db.openTable("my_table");
+      // --8<-- [end:table_eventual_consistency]
+    }
+    {
+      // --8<-- [start:table_no_consistency]
+      const db = await lancedb.connect({ uri, readConsistencyInterval: null });
+      const tbl = await db.openTable("my_table");
+      // --8<-- [end:table_no_consistency]
+    }
+    {
+      // --8<-- [start:table_checkout_latest]
+      const tbl = await db.openTable("my_table");
+
+      // (Other writes happen to test_table_async from another process)
+
+      // Check for updates
+      tbl.checkoutLatest();
+      // --8<-- [end:table_checkout_latest]
+    }
  });
 });
--- a/nodejs/lancedb/index.ts
+++ b/nodejs/lancedb/index.ts
@@ -47,6 +47,12 @@ export {
  QueryExecutionOptions,
  FullTextSearchOptions,
  RecordBatchIterator,
+  FullTextQuery,
+  MatchQuery,
+  PhraseQuery,
+  BoostQuery,
+  MultiMatchQuery,
+  FullTextQueryType,
 } from "./query";

 export {
--- a/nodejs/lancedb/query.ts
+++ b/nodejs/lancedb/query.ts
@@ -17,6 +17,7 @@ import {
  VectorQuery as NativeVectorQuery,
 } from "./native";
 import { Reranker } from "./rerankers";
+
 export class RecordBatchIterator implements AsyncIterator<RecordBatch> {
  private promisedInner?: Promise<NativeBatchIterator>;
  private inner?: NativeBatchIterator;
@@ -152,7 +153,7 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
  }

  fullTextSearch(
-    query: string,
+    query: string | FullTextQuery,
    options?: Partial<FullTextSearchOptions>,
  ): this {
    let columns: string[] | null = null;
@@ -164,9 +165,18 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
      }
    }

-    this.doCall((inner: NativeQueryType) =>
-      inner.fullTextSearch(query, columns),
-    );
+    this.doCall((inner: NativeQueryType) => {
+      if (typeof query === "string") {
+        inner.fullTextSearch({
+          query: query,
+          columns: columns,
+        });
+      } else {
+        // If query is a FullTextQuery object, convert it to a dict
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
+      }
+    });
    return this;
  }

@@ -348,6 +358,43 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
      return this.inner.explainPlan(verbose);
    }
  }
+
+  /**
+   * Executes the query and returns the physical query plan annotated with runtime metrics.
+   *
+   * This is useful for debugging and performance analysis, as it shows how the query was executed
+   * and includes metrics such as elapsed time, rows processed, and I/O statistics.
+   *
+   * @example
+   * import * as lancedb from "@lancedb/lancedb"
+   *
+   * const db = await lancedb.connect("./.lancedb");
+   * const table = await db.createTable("my_table", [
+   *   { vector: [1.1, 0.9], id: "1" },
+   * ]);
+   *
+   * const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
+   *
+   * Example output (with runtime metrics inlined):
+   * AnalyzeExec verbose=true, metrics=[]
+   *  ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
+   *   Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
+   *    CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
+   *     GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
+   *      FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
+   *       SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
+   *        KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
+   *         LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
+   *
+   * @returns A query execution plan with runtime metrics for each step.
+   */
+  async analyzePlan(): Promise<string> {
+    if (this.inner instanceof Promise) {
+      return this.inner.then((inner) => inner.analyzePlan());
+    } else {
+      return this.inner.analyzePlan();
+    }
+  }
 }

 /**
@@ -681,8 +728,167 @@ export class Query extends QueryBase<NativeQuery> {
    }
  }

-  nearestToText(query: string, columns?: string[]): Query {
-    this.doCall((inner) => inner.fullTextSearch(query, columns));
+  nearestToText(query: string | FullTextQuery, columns?: string[]): Query {
+    this.doCall((inner) => {
+      if (typeof query === "string") {
+        inner.fullTextSearch({
+          query: query,
+          columns: columns,
+        });
+      } else {
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
+      }
+    });
    return this;
  }
 }
+
+/**
+ * Enum representing the types of full-text queries supported.
+ *
+ * - `Match`: Performs a full-text search for terms in the query string.
+ * - `MatchPhrase`: Searches for an exact phrase match in the text.
+ * - `Boost`: Boosts the relevance score of specific terms in the query.
+ * - `MultiMatch`: Searches across multiple fields for the query terms.
+ */
+export enum FullTextQueryType {
+  Match = "match",
+  MatchPhrase = "match_phrase",
+  Boost = "boost",
+  MultiMatch = "multi_match",
+}
+
+/**
+ * Represents a full-text query interface.
+ * This interface defines the structure and behavior for full-text queries,
+ * including methods to retrieve the query type and convert the query to a dictionary format.
+ */
+export interface FullTextQuery {
+  queryType(): FullTextQueryType;
+  toDict(): Record<string, unknown>;
+}
+
+export class MatchQuery implements FullTextQuery {
+  /**
+   * Creates an instance of MatchQuery.
+   *
+   * @param query - The text query to search for.
+   * @param column - The name of the column to search within.
+   * @param boost - (Optional) The boost factor to influence the relevance score of this query. Default is `1.0`.
+   * @param fuzziness - (Optional) The allowed edit distance for fuzzy matching. Default is `0`.
+   * @param maxExpansions - (Optional) The maximum number of terms to consider for fuzzy matching. Default is `50`.
+   */
+  constructor(
+    private query: string,
+    private column: string,
+    private boost: number = 1.0,
+    private fuzziness: number = 0,
+    private maxExpansions: number = 50,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.Match;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        [this.column]: {
+          query: this.query,
+          boost: this.boost,
+          fuzziness: this.fuzziness,
+          // biome-ignore lint/style/useNamingConvention: use underscore for consistency with the other APIs
+          max_expansions: this.maxExpansions,
+        },
+      },
+    };
+  }
+}
+
+export class PhraseQuery implements FullTextQuery {
+  /**
+   * Creates an instance of `PhraseQuery`.
+   *
+   * @param query - The phrase to search for in the specified column.
+   * @param column - The name of the column to search within.
+   */
+  constructor(
+    private query: string,
+    private column: string,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.MatchPhrase;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        [this.column]: this.query,
+      },
+    };
+  }
+}
+
+export class BoostQuery implements FullTextQuery {
+  /**
+   * Creates an instance of BoostQuery.
+   *
+   * @param positive - The positive query that boosts the relevance score.
+   * @param negative - The negative query that reduces the relevance score.
+   * @param negativeBoost - The factor by which the negative query reduces the score.
+   */
+  constructor(
+    private positive: FullTextQuery,
+    private negative: FullTextQuery,
+    private negativeBoost: number,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.Boost;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        positive: this.positive.toDict(),
+        negative: this.negative.toDict(),
+        // biome-ignore lint/style/useNamingConvention: use underscore for consistency with the other APIs
+        negative_boost: this.negativeBoost,
+      },
+    };
+  }
+}
+
+export class MultiMatchQuery implements FullTextQuery {
+  /**
+   * Creates an instance of MultiMatchQuery.
+   *
+   * @param query - The text query to search for across multiple columns.
+   * @param columns - An array of column names to search within.
+   * @param boosts - (Optional) An array of boost factors corresponding to each column. Default is an array of 1.0 for each column.
+   *
+   * The `boosts` array should have the same length as `columns`. If not provided, all columns will have a default boost of 1.0.
+   * If the length of `boosts` is less than `columns`, it will be padded with 1.0s.
+   */
+  constructor(
+    private query: string,
+    private columns: string[],
+    private boosts: number[] = columns.map(() => 1.0),
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.MultiMatch;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        query: this.query,
+        columns: this.columns,
+        boost: this.boosts,
+      },
+    };
+  }
+}
--- a/nodejs/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
--- a/nodejs/npm/darwin-x64/package.json
+++ b/nodejs/npm/darwin-x64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-x64",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["darwin"],
 	"cpu": ["x64"],
 	"main": "lancedb.darwin-x64.node",
--- a/nodejs/npm/linux-arm64-gnu/package.json
+++ b/nodejs/npm/linux-arm64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
--- a/nodejs/npm/linux-arm64-musl/package.json
+++ b/nodejs/npm/linux-arm64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
--- a/nodejs/npm/linux-x64-gnu/package.json
+++ b/nodejs/npm/linux-x64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
--- a/nodejs/npm/linux-x64-musl/package.json
+++ b/nodejs/npm/linux-x64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
--- a/nodejs/npm/win32-arm64-msvc/package.json
+++ b/nodejs/npm/win32-arm64-msvc/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.18.2-beta.0",
+  "version": "0.19.0-beta.2",
  "os": [
    "win32"
  ],
--- a/nodejs/npm/win32-x64-msvc/package.json
+++ b/nodejs/npm/win32-x64-msvc/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.18.2-beta.0",
+	"version": "0.19.0-beta.2",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
--- a/nodejs/package-lock.json
+++ b/nodejs/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "@lancedb/lancedb",
-  "version": "0.18.2-beta.0",
+  "version": "0.19.0-beta.2",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.18.2-beta.0",
+      "version": "0.19.0-beta.2",
      "cpu": [
        "x64",
        "arm64"
@@ -2304,89 +2304,20 @@
      }
    },
    "node_modules/@babel/code-frame": {
-      "version": "7.23.5",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.23.5.tgz",
-      "integrity": "sha512-CgH3s1a96LipHCmSUmYFPwY7MNx8C3avkq7i4Wl3cfa662ldtUe4VM1TPXX70pfmrlWTb6jLqTYrZyT2ZTJBgA==",
+      "version": "7.26.2",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
+      "integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
-        "@babel/highlight": "^7.23.4",
-        "chalk": "^2.4.2"
+        "@babel/helper-validator-identifier": "^7.25.9",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.0.0"
      },
      "engines": {
        "node": ">=6.9.0"
      }
    },
-    "node_modules/@babel/code-frame/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
-      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
-      "dev": true,
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
-      "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
-      "dev": true,
-      "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
-      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dev": true,
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
-      "dev": true
-    },
-    "node_modules/@babel/code-frame/node_modules/escape-string-regexp": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
-      "dev": true,
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/has-flag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
-      "dev": true,
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/code-frame/node_modules/supports-color": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
-      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
-      "dev": true,
-      "dependencies": {
-        "has-flag": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
    "node_modules/@babel/compat-data": {
      "version": "7.23.5",
      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.5.tgz",
@@ -2589,19 +2520,21 @@
      }
    },
    "node_modules/@babel/helper-string-parser": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.23.4.tgz",
-      "integrity": "sha512-803gmbQdqwdf4olxrX4AJyFBV/RTr3rSmOj0rKwesmzlfhYNDEs+/iOcznzpNWlJlIlTJC2QfPFcHB6DlzdVLQ==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
+      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
      "dev": true,
+      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
    },
    "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.22.20",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz",
-      "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
+      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
      "dev": true,
+      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
@@ -2616,109 +2549,28 @@
      }
    },
    "node_modules/@babel/helpers": {
-      "version": "7.23.8",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.8.tgz",
-      "integrity": "sha512-KDqYz4PiOWvDFrdHLPhKtCThtIcKVy6avWD2oG4GEvyQ+XDZwHD4YQd+H2vNMnq2rkdxsDkU82T+Vk8U/WXHRQ==",
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.27.0.tgz",
+      "integrity": "sha512-U5eyP/CTFPuNE3qk+WZMxFkp/4zUzdceQlfzf7DdGdhp+Fezd7HD+i8Y24ZuTMKX3wQBld449jijbGq6OdGNQg==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
-        "@babel/template": "^7.22.15",
-        "@babel/traverse": "^7.23.7",
-        "@babel/types": "^7.23.6"
+        "@babel/template": "^7.27.0",
+        "@babel/types": "^7.27.0"
      },
      "engines": {
        "node": ">=6.9.0"
      }
    },
-    "node_modules/@babel/highlight": {
-      "version": "7.23.4",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.23.4.tgz",
-      "integrity": "sha512-acGdbYSfp2WheJoJm/EBBBLh/ID8KDc64ISZ9DYtBmC8/Q204PZJLHyzeB5qMzJ5trcOkybd78M4x2KWsUq++A==",
-      "dev": true,
-      "dependencies": {
-        "@babel/helper-validator-identifier": "^7.22.20",
-        "chalk": "^2.4.2",
-        "js-tokens": "^4.0.0"
-      },
-      "engines": {
-        "node": ">=6.9.0"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/ansi-styles": {
-      "version": "3.2.1",
-      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
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-      "dev": true,
-      "dependencies": {
-        "color-convert": "^1.9.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/chalk": {
-      "version": "2.4.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
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-      "dev": true,
-      "dependencies": {
-        "ansi-styles": "^3.2.1",
-        "escape-string-regexp": "^1.0.5",
-        "supports-color": "^5.3.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/color-convert": {
-      "version": "1.9.3",
-      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
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-      "dev": true,
-      "dependencies": {
-        "color-name": "1.1.3"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/color-name": {
-      "version": "1.1.3",
-      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
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-      "dev": true
-    },
-    "node_modules/@babel/highlight/node_modules/escape-string-regexp": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
-      "dev": true,
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/has-flag": {
-      "version": "3.0.0",
-      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
-      "dev": true,
-      "engines": {
-        "node": ">=4"
-      }
-    },
-    "node_modules/@babel/highlight/node_modules/supports-color": {
-      "version": "5.5.0",
-      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
-      "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
-      "dev": true,
-      "dependencies": {
-        "has-flag": "^3.0.0"
-      },
-      "engines": {
-        "node": ">=4"
-      }
-    },
    "node_modules/@babel/parser": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.6.tgz",
-      "integrity": "sha512-Z2uID7YJ7oNvAI20O9X0bblw7Qqs8Q2hFy0R9tAfnfLkp5MW0UH9eUvnDSnFwKZ0AvgS1ucqR4KzvVHgnke1VQ==",
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.27.0.tgz",
+      "integrity": "sha512-iaepho73/2Pz7w2eMS0Q5f83+0RKI7i4xmiYeBmDzfRVbQtTOG7Ts0S4HzJVsTMGI9keU8rNfuZr8DKfSt7Yyg==",
      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/types": "^7.27.0"
+      },
      "bin": {
        "parser": "bin/babel-parser.js"
      },
@@ -2904,14 +2756,15 @@
      }
    },
    "node_modules/@babel/template": {
-      "version": "7.22.15",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.15.tgz",
-      "integrity": "sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==",
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.27.0.tgz",
+      "integrity": "sha512-2ncevenBqXI6qRMukPlXwHKHchC7RyMuu4xv5JBXRfOGVcTy1mXCD12qrp7Jsoxll1EV3+9sE4GugBVRjT2jFA==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
-        "@babel/code-frame": "^7.22.13",
-        "@babel/parser": "^7.22.15",
-        "@babel/types": "^7.22.15"
+        "@babel/code-frame": "^7.26.2",
+        "@babel/parser": "^7.27.0",
+        "@babel/types": "^7.27.0"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -2948,14 +2801,14 @@
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    },
    "node_modules/@babel/types": {
-      "version": "7.23.6",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.6.tgz",
-      "integrity": "sha512-+uarb83brBzPKN38NX1MkB6vb6+mwvR6amUulqAE7ccQw1pEl+bCia9TbdG1lsnFP7lZySvUn37CHyXQdfTwzg==",
+      "version": "7.27.0",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.27.0.tgz",
+      "integrity": "sha512-H45s8fVLYjbhFH62dIJ3WtmJ6RSPt/3DRO0ZcT2SUiYiQyz3BLVb9ADEnLl91m74aQPS3AzzeajZHYOalWe3bg==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
-        "@babel/helper-string-parser": "^7.23.4",
-        "@babel/helper-validator-identifier": "^7.22.20",
-        "to-fast-properties": "^2.0.0"
+        "@babel/helper-string-parser": "^7.25.9",
+        "@babel/helper-validator-identifier": "^7.25.9"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -5550,10 +5403,11 @@
      "devOptional": true
    },
    "node_modules/axios": {
-      "version": "1.7.7",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.7.tgz",
-      "integrity": "sha512-S4kL7XrjgBmvdGut0sN3yJxqYzrDOnivkBiN0OFs6hLiUam3UPvswUo0kqGyhqUZGEOytHyumEdXsAkgCOUf3Q==",
+      "version": "1.8.4",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.8.4.tgz",
+      "integrity": "sha512-eBSYY4Y68NNlHbHBMdeDmKNtDgXWhQsJcGqzO3iLUM0GraQFSS9cVgPX5I9b3lbdFKyYoAEGAZF1DwhTaljNAw==",
      "dev": true,
+      "license": "MIT",
      "dependencies": {
        "follow-redirects": "^1.15.6",
        "form-data": "^4.0.0",
@@ -7869,7 +7723,8 @@
      "version": "4.0.0",
      "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
      "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==",
-      "dev": true
+      "dev": true,
+      "license": "MIT"
    },
    "node_modules/js-yaml": {
      "version": "3.14.1",
@@ -9360,15 +9215,6 @@
      "integrity": "sha512-3f0uOEAQwIqGuWW2MVzYg8fV/QNnc/IpuJNG837rLuczAaLVHslWHZQj4IGiEl5Hs3kkbhwL9Ab7Hrsmuj+Smw==",
      "dev": true
    },
-    "node_modules/to-fast-properties": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
-      "integrity": "sha512-/OaKK0xYrs3DmxRYqL/yDc+FxFUVYhDlXMhRmv3z915w2HF1tnN1omB354j8VUGO/hbRzyD6Y3sA7v7GS/ceog==",
-      "dev": true,
-      "engines": {
-        "node": ">=4"
-      }
-    },
    "node_modules/to-regex-range": {
      "version": "5.0.1",
      "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.18.2-beta.0",
+  "version": "0.19.0-beta.2",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -29,6 +29,7 @@
        "aarch64-apple-darwin",
        "x86_64-unknown-linux-gnu",
        "aarch64-unknown-linux-gnu",
+        "x86_64-unknown-linux-musl",
        "aarch64-unknown-linux-musl",
        "x86_64-pc-windows-msvc",
        "aarch64-pc-windows-msvc"
--- a/nodejs/src/connection.rs
+++ b/nodejs/src/connection.rs
@@ -48,8 +48,16 @@ impl Connection {
    pub async fn new(uri: String, options: ConnectionOptions) -> napi::Result<Self> {
        let mut builder = ConnectBuilder::new(&uri);
        if let Some(interval) = options.read_consistency_interval {
-            builder =
-                builder.read_consistency_interval(std::time::Duration::from_secs_f64(interval));
+            match interval {
+                Either::A(seconds) => {
+                    builder = builder.read_consistency_interval(Some(
+                        std::time::Duration::from_secs_f64(seconds),
+                    ));
+                }
+                Either::B(_) => {
+                    builder = builder.read_consistency_interval(None);
+                }
+            }
        }
        if let Some(storage_options) = options.storage_options {
            for (key, value) in storage_options {
--- a/nodejs/src/lib.rs
+++ b/nodejs/src/lib.rs
@@ -4,6 +4,7 @@
 use std::collections::HashMap;

 use env_logger::Env;
+use napi::{bindgen_prelude::Null, Either};
 use napi_derive::*;

 mod connection;
@@ -18,7 +19,6 @@ mod table;
 mod util;

 #[napi(object)]
-#[derive(Debug)]
 pub struct ConnectionOptions {
    /// (For LanceDB OSS only): The interval, in seconds, at which to check for
    /// updates to the table from other processes. If None, then consistency is not
@@ -29,7 +29,7 @@ pub struct ConnectionOptions {
    /// has passed since the last check, then the table will be checked for updates.
    /// Note: this consistency only applies to read operations. Write operations are
    /// always consistent.
-    pub read_consistency_interval: Option<f64>,
+    pub read_consistency_interval: Option<Either<f64, Null>>,
    /// (For LanceDB OSS only): configuration for object storage.
    ///
    /// The available options are described at https://lancedb.github.io/lancedb/guides/storage/
--- a/nodejs/src/query.rs
+++ b/nodejs/src/query.rs
@@ -3,7 +3,7 @@

 use std::sync::Arc;

-use lancedb::index::scalar::FullTextSearchQuery;
+use lancedb::index::scalar::{FtsQuery, FullTextSearchQuery, MatchQuery, PhraseQuery};
 use lancedb::query::ExecutableQuery;
 use lancedb::query::Query as LanceDbQuery;
 use lancedb::query::QueryBase;
@@ -18,7 +18,7 @@ use crate::error::NapiErrorExt;
 use crate::iterator::RecordBatchIterator;
 use crate::rerankers::Reranker;
 use crate::rerankers::RerankerCallbacks;
-use crate::util::parse_distance_type;
+use crate::util::{parse_distance_type, parse_fts_query};

 #[napi]
 pub struct Query {
@@ -38,9 +38,53 @@ impl Query {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
-        let query = FullTextSearchQuery::new(query).columns(columns);
+    pub fn full_text_search(&mut self, query: napi::JsUnknown) -> napi::Result<()> {
+        let query = unsafe { query.cast::<napi::JsObject>() };
+        let query = if let Some(query_text) = query.get::<_, String>("query").transpose() {
+            let mut query_text = query_text?;
+            let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(napi::Error::from_reason(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        napi::Error::from_reason(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Some(query) = query.get::<_, napi::JsObject>("query")? {
+            let query = parse_fts_query(&query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(napi::Error::from_reason(
+                "Invalid full text search query object".to_string(),
+            ));
+        };
+
        self.inner = self.inner.clone().full_text_search(query);
+        Ok(())
    }

    #[napi]
@@ -114,6 +158,16 @@ impl Query {
            ))
        })
    }
+
+    #[napi(catch_unwind)]
+    pub async fn analyze_plan(&self) -> napi::Result<String> {
+        self.inner.analyze_plan().await.map_err(|e| {
+            napi::Error::from_reason(format!(
+                "Failed to execute analyze plan: {}",
+                convert_error(&e)
+            ))
+        })
+    }
 }

 #[napi]
@@ -185,9 +239,53 @@ impl VectorQuery {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
-        let query = FullTextSearchQuery::new(query).columns(columns);
+    pub fn full_text_search(&mut self, query: napi::JsUnknown) -> napi::Result<()> {
+        let query = unsafe { query.cast::<napi::JsObject>() };
+        let query = if let Some(query_text) = query.get::<_, String>("query").transpose() {
+            let mut query_text = query_text?;
+            let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(napi::Error::from_reason(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        napi::Error::from_reason(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Some(query) = query.get::<_, napi::JsObject>("query")? {
+            let query = parse_fts_query(&query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(napi::Error::from_reason(
+                "Invalid full text search query object".to_string(),
+            ));
+        };
+
        self.inner = self.inner.clone().full_text_search(query);
+        Ok(())
    }

    #[napi]
@@ -259,4 +357,14 @@ impl VectorQuery {
            ))
        })
    }
+
+    #[napi(catch_unwind)]
+    pub async fn analyze_plan(&self) -> napi::Result<String> {
+        self.inner.analyze_plan().await.map_err(|e| {
+            napi::Error::from_reason(format!(
+                "Failed to execute analyze plan: {}",
+                convert_error(&e)
+            ))
+        })
+    }
 }
--- a/nodejs/src/util.rs
+++ b/nodejs/src/util.rs
@@ -1,6 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

+use lancedb::index::scalar::{BoostQuery, FtsQuery, MatchQuery, MultiMatchQuery, PhraseQuery};
 use lancedb::DistanceType;

 pub fn parse_distance_type(distance_type: impl AsRef<str>) -> napi::Result<DistanceType> {
@@ -15,3 +16,144 @@ pub fn parse_distance_type(distance_type: impl AsRef<str>) -> napi::Result<Dista
        ))),
    }
 }
+
+pub fn parse_fts_query(query: &napi::JsObject) -> napi::Result<FtsQuery> {
+    let query_type = query
+        .get_property_names()?
+        .get_element::<napi::JsString>(0)?;
+    let query_type = query_type.into_utf8()?.into_owned()?;
+    let query_value =
+        query
+            .get::<_, napi::JsObject>(&query_type)?
+            .ok_or(napi::Error::from_reason(format!(
+                "query value {} not found",
+                query_type
+            )))?;
+
+    match query_type.as_str() {
+        "match" => {
+            let column = query_value
+                .get_property_names()?
+                .get_element::<napi::JsString>(0)?
+                .into_utf8()?
+                .into_owned()?;
+            let params =
+                query_value
+                    .get::<_, napi::JsObject>(&column)?
+                    .ok_or(napi::Error::from_reason(format!(
+                        "column {} not found",
+                        column
+                    )))?;
+
+            let query = params
+                .get::<_, napi::JsString>("query")?
+                .ok_or(napi::Error::from_reason("query not found"))?
+                .into_utf8()?
+                .into_owned()?;
+            let boost = params
+                .get::<_, napi::JsNumber>("boost")?
+                .ok_or(napi::Error::from_reason("boost not found"))?
+                .get_double()? as f32;
+            let fuzziness = params
+                .get::<_, napi::JsNumber>("fuzziness")?
+                .map(|f| f.get_uint32())
+                .transpose()?;
+            let max_expansions = params
+                .get::<_, napi::JsNumber>("max_expansions")?
+                .ok_or(napi::Error::from_reason("max_expansions not found"))?
+                .get_uint32()? as usize;
+
+            let query = MatchQuery::new(query)
+                .with_column(Some(column))
+                .with_boost(boost)
+                .with_fuzziness(fuzziness)
+                .with_max_expansions(max_expansions);
+            Ok(query.into())
+        }
+
+        "match_phrase" => {
+            let column = query_value
+                .get_property_names()?
+                .get_element::<napi::JsString>(0)?
+                .into_utf8()?
+                .into_owned()?;
+            let query = query_value
+                .get::<_, napi::JsString>(&column)?
+                .ok_or(napi::Error::from_reason(format!(
+                    "column {} not found",
+                    column
+                )))?
+                .into_utf8()?
+                .into_owned()?;
+
+            let query = PhraseQuery::new(query).with_column(Some(column));
+            Ok(query.into())
+        }
+
+        "boost" => {
+            let positive = query_value
+                .get::<_, napi::JsObject>("positive")?
+                .ok_or(napi::Error::from_reason("positive not found"))?;
+
+            let negative = query_value
+                .get::<_, napi::JsObject>("negative")?
+                .ok_or(napi::Error::from_reason("negative not found"))?;
+            let negative_boost = query_value
+                .get::<_, napi::JsNumber>("negative_boost")?
+                .ok_or(napi::Error::from_reason("negative_boost not found"))?
+                .get_double()? as f32;
+
+            let positive = parse_fts_query(&positive)?;
+            let negative = parse_fts_query(&negative)?;
+            let query = BoostQuery::new(positive, negative, Some(negative_boost));
+            Ok(query.into())
+        }
+
+        "multi_match" => {
+            let query = query_value
+                .get::<_, napi::JsString>("query")?
+                .ok_or(napi::Error::from_reason("query not found"))?
+                .into_utf8()?
+                .into_owned()?;
+            let columns_array = query_value
+                .get::<_, napi::JsTypedArray>("columns")?
+                .ok_or(napi::Error::from_reason("columns not found"))?;
+            let columns_num = columns_array.get_array_length()?;
+            let mut columns = Vec::with_capacity(columns_num as usize);
+            for i in 0..columns_num {
+                let column = columns_array
+                    .get_element::<napi::JsString>(i)?
+                    .into_utf8()?
+                    .into_owned()?;
+                columns.push(column);
+            }
+            let boost_array = query_value
+                .get::<_, napi::JsTypedArray>("boost")?
+                .ok_or(napi::Error::from_reason("boost not found"))?;
+            if boost_array.get_array_length()? != columns_num {
+                return Err(napi::Error::from_reason(format!(
+                    "boost array length ({}) does not match columns length ({})",
+                    boost_array.get_array_length()?,
+                    columns_num
+                )));
+            }
+            let mut boost = Vec::with_capacity(columns_num as usize);
+            for i in 0..columns_num {
+                let b = boost_array.get_element::<napi::JsNumber>(i)?.get_double()? as f32;
+                boost.push(b);
+            }
+
+            let query =
+                MultiMatchQuery::try_new_with_boosts(query, columns, boost).map_err(|e| {
+                    napi::Error::from_reason(format!("Error creating MultiMatchQuery: {}", e))
+                })?;
+
+            Ok(query.into())
+        }
+
+        _ => Err(napi::Error::from_reason(format!(
+            "Unsupported query type: {}",
+            query_type
+        ))),
+    }
+}
--- a/python/.bumpversion.toml
+++ b/python/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.21.3-beta.0"
+current_version = "0.22.0-beta.3"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/python/Cargo.toml
+++ b/python/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.21.3-beta.0"
+version = "0.22.0-beta.3"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
--- a/python/python/lancedb/init.py
+++ b/python/python/lancedb/init.py
@@ -26,7 +26,7 @@ def connect(
    api_key: Optional[str] = None,
    region: str = "us-east-1",
    host_override: Optional[str] = None,
-    read_consistency_interval: Optional[timedelta] = None,
+    read_consistency_interval: Optional[timedelta] = timedelta(seconds=5),
    request_thread_pool: Optional[Union[int, ThreadPoolExecutor]] = None,
    client_config: Union[ClientConfig, Dict[str, Any], None] = None,
    storage_options: Optional[Dict[str, str]] = None,
@@ -49,9 +49,8 @@ def connect(
    read_consistency_interval: timedelta, default None
        (For LanceDB OSS only)
        The interval at which to check for updates to the table from other
-        processes. If None, then consistency is not checked. For performance
-        reasons, this is the default. For strong consistency, set this to
-        zero seconds. Then every read will check for updates from other
+        processes. If None, then consistency is not checked. For strong consistency,
+        set this to zero seconds. Then every read will check for updates from other
        processes. As a compromise, you can set this to a non-zero timedelta
        for eventual consistency. If more than that interval has passed since
        the last check, then the table will be checked for updates. Note: this
@@ -122,7 +121,7 @@ async def connect_async(
    api_key: Optional[str] = None,
    region: str = "us-east-1",
    host_override: Optional[str] = None,
-    read_consistency_interval: Optional[timedelta] = None,
+    read_consistency_interval: Optional[timedelta] = timedelta(seconds=5),
    client_config: Optional[Union[ClientConfig, Dict[str, Any]]] = None,
    storage_options: Optional[Dict[str, str]] = None,
 ) -> AsyncConnection:
@@ -143,9 +142,8 @@ async def connect_async(
    read_consistency_interval: timedelta, default None
        (For LanceDB OSS only)
        The interval at which to check for updates to the table from other
-        processes. If None, then consistency is not checked. For performance
-        reasons, this is the default. For strong consistency, set this to
-        zero seconds. Then every read will check for updates from other
+        processes. If None, then consistency is not checked. For strong consistency,
+        set this to zero seconds. Then every read will check for updates from other
        processes. As a compromise, you can set this to a non-zero timedelta
        for eventual consistency. If more than that interval has passed since
        the last check, then the table will be checked for updates. Note: this
--- a/python/python/lancedb/_lancedb.pyi
+++ b/python/python/lancedb/_lancedb.pyi
@@ -96,6 +96,7 @@ class Query:
    def nearest_to_text(self, query: dict) -> FTSQuery: ...
    async def execute(self, max_batch_length: Optional[int]) -> RecordBatchStream: ...
    async def explain_plan(self, verbose: Optional[bool]) -> str: ...
+    async def analyze_plan(self) -> str: ...
    def to_query_request(self) -> PyQueryRequest: ...

 class FTSQuery:
--- a/python/python/lancedb/db.py
+++ b/python/python/lancedb/db.py
@@ -6,6 +6,7 @@ from __future__ import annotations

 from abc import abstractmethod
 from pathlib import Path
+from datetime import timedelta
 from typing import TYPE_CHECKING, Dict, Iterable, List, Literal, Optional, Union

 from lancedb.embeddings.registry import EmbeddingFunctionRegistry
@@ -32,7 +33,6 @@ import deprecation
 if TYPE_CHECKING:
    import pyarrow as pa
    from .pydantic import LanceModel
-    from datetime import timedelta

    from ._lancedb import Connection as LanceDbConnection
    from .common import DATA, URI
@@ -318,9 +318,8 @@ class LanceDBConnection(DBConnection):
        The root uri of the database.
    read_consistency_interval: timedelta, default None
        The interval at which to check for updates to the table from other
-        processes. If None, then consistency is not checked. For performance
-        reasons, this is the default. For strong consistency, set this to
-        zero seconds. Then every read will check for updates from other
+        processes. If None, then consistency is not checked. For strong consistency,
+        set this to zero seconds. Then every read will check for updates from other
        processes. As a compromise, you can set this to a non-zero timedelta
        for eventual consistency. If more than that interval has passed since
        the last check, then the table will be checked for updates. Note: this
@@ -352,7 +351,7 @@ class LanceDBConnection(DBConnection):
        self,
        uri: URI,
        *,
-        read_consistency_interval: Optional[timedelta] = None,
+        read_consistency_interval: Optional[timedelta] = timedelta(seconds=5),
        storage_options: Optional[Dict[str, str]] = None,
    ):
        if not isinstance(uri, Path):
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -4,7 +4,9 @@
 from __future__ import annotations

 from abc import ABC, abstractmethod
+import abc
 from concurrent.futures import ThreadPoolExecutor
+from enum import Enum
 from typing import (
    TYPE_CHECKING,
    Dict,
@@ -83,6 +85,213 @@ def ensure_vector_query(
        return val


+class FullTextQueryType(Enum):
+    MATCH = "match"
+    MATCH_PHRASE = "match_phrase"
+    BOOST = "boost"
+    MULTI_MATCH = "multi_match"
+
+
+class FullTextQuery(abc.ABC, pydantic.BaseModel):
+    @abc.abstractmethod
+    def query_type(self) -> FullTextQueryType:
+        """
+        Get the query type of the query.
+
+        Returns
+        -------
+        str
+            The type of the query.
+        """
+
+    @abc.abstractmethod
+    def to_dict(self) -> dict:
+        """
+        Convert the query to a dictionary.
+
+        Returns
+        -------
+        dict
+            The query as a dictionary.
+        """
+
+
+class MatchQuery(FullTextQuery):
+    query: str
+    column: str
+    boost: float = 1.0
+    fuzziness: int = 0
+    max_expansions: int = 50
+
+    def __init__(
+        self,
+        query: str,
+        column: str,
+        *,
+        boost: float = 1.0,
+        fuzziness: int = 0,
+        max_expansions: int = 50,
+    ):
+        """
+        Match query for full-text search.
+
+        Parameters
+        ----------
+        query : str
+            The query string to match against.
+        column : str
+            The name of the column to match against.
+        boost : float, default 1.0
+            The boost factor for the query.
+            The score of each matching document is multiplied by this value.
+        fuzziness : int, optional
+            The maximum edit distance for each term in the match query.
+            Defaults to 0 (exact match).
+            If None, fuzziness is applied automatically by the rules:
+                - 0 for terms with length <= 2
+                - 1 for terms with length <= 5
+                - 2 for terms with length > 5
+        max_expansions : int, optional
+            The maximum number of terms to consider for fuzzy matching.
+            Defaults to 50.
+        """
+        super().__init__(
+            query=query,
+            column=column,
+            boost=boost,
+            fuzziness=fuzziness,
+            max_expansions=max_expansions,
+        )
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MATCH
+
+    def to_dict(self) -> dict:
+        return {
+            "match": {
+                self.column: {
+                    "query": self.query,
+                    "boost": self.boost,
+                    "fuzziness": self.fuzziness,
+                    "max_expansions": self.max_expansions,
+                }
+            }
+        }
+
+
+class PhraseQuery(FullTextQuery):
+    query: str
+    column: str
+
+    def __init__(self, query: str, column: str):
+        """
+        Phrase query for full-text search.
+
+        Parameters
+        ----------
+        query : str
+            The query string to match against.
+        column : str
+            The name of the column to match against.
+        """
+        super().__init__(query=query, column=column)
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MATCH_PHRASE
+
+    def to_dict(self) -> dict:
+        return {
+            "match_phrase": {
+                self.column: self.query,
+            }
+        }
+
+
+class BoostQuery(FullTextQuery):
+    positive: FullTextQuery
+    negative: FullTextQuery
+    negative_boost: float = 0.5
+
+    def __init__(
+        self,
+        positive: FullTextQuery,
+        negative: FullTextQuery,
+        *,
+        negative_boost: float = 0.5,
+    ):
+        """
+        Boost query for full-text search.
+
+        Parameters
+        ----------
+        positive : dict
+            The positive query object.
+        negative : dict
+            The negative query object.
+        negative_boost : float
+            The boost factor for the negative query.
+        """
+        super().__init__(
+            positive=positive, negative=negative, negative_boost=negative_boost
+        )
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.BOOST
+
+    def to_dict(self) -> dict:
+        return {
+            "boost": {
+                "positive": self.positive.to_dict(),
+                "negative": self.negative.to_dict(),
+                "negative_boost": self.negative_boost,
+            }
+        }
+
+
+class MultiMatchQuery(FullTextQuery):
+    query: str
+    columns: list[str]
+    boosts: list[float]
+
+    def __init__(
+        self,
+        query: str,
+        columns: list[str],
+        *,
+        boosts: Optional[list[float]] = None,
+    ):
+        """
+        Multi-match query for full-text search.
+
+        Parameters
+        ----------
+        query : str | list[Query]
+            If a string, the query string to match against.
+
+        columns : list[str]
+            The list of columns to match against.
+
+        boosts : list[float], optional
+            The list of boost factors for each column. If not provided,
+            all columns will have the same boost factor.
+        """
+        if boosts is None:
+            boosts = [1.0] * len(columns)
+        super().__init__(query=query, columns=columns, boosts=boosts)
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MULTI_MATCH
+
+    def to_dict(self) -> dict:
+        return {
+            "multi_match": {
+                "query": self.query,
+                "columns": self.columns,
+                "boost": self.boosts,
+            }
+        }
+
+
 class FullTextSearchQuery(pydantic.BaseModel):
    """A LanceDB Full Text Search Query

@@ -92,18 +301,13 @@ class FullTextSearchQuery(pydantic.BaseModel):
        The columns to search

        If None, then the table should select the column automatically.
-    query: str
-        The query to search for
-    limit: Optional[int] = None
-        The limit on the number of results to return
-    wand_factor: Optional[float] = None
-        The wand factor to use for the search
+    query: str | FullTextQuery
+        If a string, it is treated as a MatchQuery.
+        If a FullTextQuery object, it is used directly.
    """

    columns: Optional[List[str]] = None
-    query: str
-    limit: Optional[int] = None
-    wand_factor: Optional[float] = None
+    query: Union[str, FullTextQuery]


 class Query(pydantic.BaseModel):
@@ -357,7 +561,7 @@ class LanceQueryBuilder(ABC):
                table, query, vector_column_name, fts_columns=fts_columns
            )

-        if isinstance(query, str):
+        if isinstance(query, (str, FullTextQuery)):
            # fts
            return LanceFtsQueryBuilder(
                table,
@@ -382,8 +586,10 @@ class LanceQueryBuilder(ABC):
        # If query_type is fts, then query must be a string.
        # otherwise raise TypeError
        if query_type == "fts":
-            if not isinstance(query, str):
-                raise TypeError(f"'fts' queries must be a string: {type(query)}")
+            if not isinstance(query, (str, FullTextQuery)):
+                raise TypeError(
+                    f"'fts' query must be a string or FullTextQuery: {type(query)}"
+                )
            return query, query_type
        elif query_type == "vector":
            query = cls._query_to_vector(table, query, vector_column_name)
@@ -659,6 +865,44 @@ class LanceQueryBuilder(ABC):
        """  # noqa: E501
        return self._table._explain_plan(self.to_query_object(), verbose=verbose)

+    def analyze_plan(self) -> str:
+        """
+        Run the query and return its execution plan with runtime metrics.
+
+        This returns detailed metrics for each step, such as elapsed time,
+        rows processed, bytes read, and I/O stats. It is useful for debugging
+        and performance tuning.
+
+        Examples
+        --------
+        >>> import lancedb
+        >>> db = lancedb.connect("./.lancedb")
+        >>> table = db.create_table("my_table", [{"vector": [99.0, 99]}])
+        >>> query = [100, 100]
+        >>> plan = table.search(query).analyze_plan()
+        >>> print(plan)  # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
+        AnalyzeExec verbose=true, metrics=[]
+          ProjectionExec: expr=[...], metrics=[...]
+            GlobalLimitExec: skip=0, fetch=10, metrics=[...]
+              FilterExec: _distance@2 IS NOT NULL,
+              metrics=[output_rows=..., elapsed_compute=...]
+                SortExec: TopK(fetch=10), expr=[...],
+                preserve_partitioning=[...],
+                metrics=[output_rows=..., elapsed_compute=..., row_replacements=...]
+                  KNNVectorDistance: metric=l2,
+                  metrics=[output_rows=..., elapsed_compute=..., output_batches=...]
+                    LanceScan: uri=..., projection=[vector], row_id=true,
+                    row_addr=false, ordered=false,
+                    metrics=[output_rows=..., elapsed_compute=...,
+                    bytes_read=..., iops=..., requests=...]
+
+        Returns
+        -------
+        plan : str
+            The physical query execution plan with runtime metrics.
+        """
+        return self._table._analyze_plan(self.to_query_object())
+
    def vector(self, vector: Union[np.ndarray, list]) -> Self:
        """Set the vector to search for.

@@ -674,13 +918,14 @@ class LanceQueryBuilder(ABC):
        """
        raise NotImplementedError

-    def text(self, text: str) -> Self:
+    def text(self, text: str | FullTextQuery) -> Self:
        """Set the text to search for.

        Parameters
        ----------
-        text: str
-            The text to search for.
+        text: str | FullTextQuery
+            If a string, it is treated as a MatchQuery.
+            If a FullTextQuery object, it is used directly.

        Returns
        -------
@@ -1046,7 +1291,7 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
    def __init__(
        self,
        table: "Table",
-        query: str,
+        query: str | FullTextQuery,
        ordering_field_name: Optional[str] = None,
        fts_columns: Optional[Union[str, List[str]]] = None,
    ):
@@ -1260,7 +1505,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
    def __init__(
        self,
        table: "Table",
-        query: Optional[str] = None,
+        query: Optional[Union[str, FullTextQuery]] = None,
        vector_column: Optional[str] = None,
        fts_columns: Optional[Union[str, List[str]]] = None,
    ):
@@ -1290,8 +1535,8 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
        text_query = text or query
        if text_query is None:
            raise ValueError("Text query must be provided for hybrid search.")
-        if not isinstance(text_query, str):
-            raise ValueError("Text query must be a string")
+        if not isinstance(text_query, (str, FullTextQuery)):
+            raise ValueError("Text query must be a string or FullTextQuery")

        return vector_query, text_query

@@ -1653,7 +1898,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
        self._vector = vector
        return self

-    def text(self, text: str) -> LanceHybridQueryBuilder:
+    def text(self, text: str | FullTextQuery) -> LanceHybridQueryBuilder:
        self._text = text
        return self

@@ -1941,6 +2186,15 @@ class AsyncQueryBase(object):
        """  # noqa: E501
        return await self._inner.explain_plan(verbose)

+    async def analyze_plan(self):
+        """Execute the query and display with runtime metrics.
+
+        Returns
+        -------
+        plan : str
+        """
+        return await self._inner.analyze_plan()
+

 class AsyncQuery(AsyncQueryBase):
    def __init__(self, inner: LanceQuery):
@@ -2041,7 +2295,7 @@ class AsyncQuery(AsyncQueryBase):
            )

    def nearest_to_text(
-        self, query: str, columns: Union[str, List[str], None] = None
+        self, query: str | FullTextQuery, columns: Union[str, List[str], None] = None
    ) -> AsyncFTSQuery:
        """
        Find the documents that are most relevant to the given text query.
@@ -2067,9 +2321,13 @@ class AsyncQuery(AsyncQueryBase):
            columns = [columns]
        if columns is None:
            columns = []
-        return AsyncFTSQuery(
-            self._inner.nearest_to_text({"query": query, "columns": columns})
-        )
+
+        if isinstance(query, str):
+            return AsyncFTSQuery(
+                self._inner.nearest_to_text({"query": query, "columns": columns})
+            )
+        # FullTextQuery object
+        return AsyncFTSQuery(self._inner.nearest_to_text({"query": query.to_dict()}))


 class AsyncFTSQuery(AsyncQueryBase):
@@ -2352,7 +2610,7 @@ class AsyncVectorQuery(AsyncQueryBase, AsyncVectorQueryBase):
        return self

    def nearest_to_text(
-        self, query: str, columns: Union[str, List[str], None] = None
+        self, query: str | FullTextQuery, columns: Union[str, List[str], None] = None
    ) -> AsyncHybridQuery:
        """
        Find the documents that are most relevant to the given text query,
@@ -2382,9 +2640,13 @@ class AsyncVectorQuery(AsyncQueryBase, AsyncVectorQueryBase):
            columns = [columns]
        if columns is None:
            columns = []
-        return AsyncHybridQuery(
-            self._inner.nearest_to_text({"query": query, "columns": columns})
-        )
+
+        if isinstance(query, str):
+            return AsyncHybridQuery(
+                self._inner.nearest_to_text({"query": query, "columns": columns})
+            )
+        # FullTextQuery object
+        return AsyncHybridQuery(self._inner.nearest_to_text({"query": query.to_dict()}))

    async def to_batches(
        self, *, max_batch_length: Optional[int] = None
@@ -2510,7 +2772,7 @@ class AsyncHybridQuery(AsyncQueryBase, AsyncVectorQueryBase):

        Returns
        -------
-        plan
+        plan : str
        """  # noqa: E501

        results = ["Vector Search Plan:"]
@@ -2519,3 +2781,23 @@ class AsyncHybridQuery(AsyncQueryBase, AsyncVectorQueryBase):
        results.append(await self._inner.to_fts_query().explain_plan(verbose))

        return "\n".join(results)
+
+    async def analyze_plan(self):
+        """
+        Execute the query and return the physical execution plan with runtime metrics.
+
+        This runs both the vector and FTS (full-text search) queries and returns
+        detailed metrics for each step of execution—such as rows processed,
+        elapsed time, I/O stats, and more. It’s useful for debugging and
+        performance analysis.
+
+        Returns
+        -------
+        plan : str
+        """
+        results = ["Vector Search Query:"]
+        results.append(await self._inner.to_vector_query().analyze_plan())
+        results.append("FTS Search Query:")
+        results.append(await self._inner.to_fts_query().analyze_plan())
+
+        return "\n".join(results)
--- a/python/python/lancedb/remote/table.py
+++ b/python/python/lancedb/remote/table.py
@@ -371,6 +371,9 @@ class RemoteTable(Table):
    def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str:
        return LOOP.run(self._table._explain_plan(query, verbose))

+    def _analyze_plan(self, query: Query) -> str:
+        return LOOP.run(self._table._analyze_plan(query))
+
    def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
        """Returns a [`LanceMergeInsertBuilder`][lancedb.merge.LanceMergeInsertBuilder]
        that can be used to create a "merge insert" operation.
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -52,6 +52,7 @@ from .query import (
    AsyncHybridQuery,
    AsyncQuery,
    AsyncVectorQuery,
+    FullTextQuery,
    LanceEmptyQueryBuilder,
    LanceFtsQueryBuilder,
    LanceHybridQueryBuilder,
@@ -919,7 +920,9 @@ class Table(ABC):
    @abstractmethod
    def search(
        self,
-        query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]] = None,
+        query: Optional[
+            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
+        ] = None,
        vector_column_name: Optional[str] = None,
        query_type: QueryType = "auto",
        ordering_field_name: Optional[str] = None,
@@ -1010,6 +1013,9 @@ class Table(ABC):
    @abstractmethod
    def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str: ...

+    @abstractmethod
+    def _analyze_plan(self, query: Query) -> str: ...
+
    @abstractmethod
    def _do_merge(
        self,
@@ -2036,7 +2042,9 @@ class LanceTable(Table):
    @overload
    def search(
        self,
-        query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]] = None,
+        query: Optional[
+            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
+        ] = None,
        vector_column_name: Optional[str] = None,
        query_type: Literal["hybrid"] = "hybrid",
        ordering_field_name: Optional[str] = None,
@@ -2055,7 +2063,9 @@ class LanceTable(Table):

    def search(
        self,
-        query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]] = None,
+        query: Optional[
+            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
+        ] = None,
        vector_column_name: Optional[str] = None,
        query_type: QueryType = "auto",
        ordering_field_name: Optional[str] = None,
@@ -2318,6 +2328,9 @@ class LanceTable(Table):
    def _explain_plan(self, query: Query, verbose: Optional[bool] = False) -> str:
        return LOOP.run(self._table._explain_plan(query, verbose))

+    def _analyze_plan(self, query: Query) -> str:
+        return LOOP.run(self._table._analyze_plan(query))
+
    def _do_merge(
        self,
        merge: LanceMergeInsertBuilder,
@@ -3128,7 +3141,9 @@ class AsyncTable:
    @overload
    async def search(
        self,
-        query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]] = None,
+        query: Optional[
+            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
+        ] = None,
        vector_column_name: Optional[str] = None,
        query_type: Literal["vector"] = ...,
        ordering_field_name: Optional[str] = None,
@@ -3137,7 +3152,9 @@ class AsyncTable:

    async def search(
        self,
-        query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]] = None,
+        query: Optional[
+            Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]
+        ] = None,
        vector_column_name: Optional[str] = None,
        query_type: QueryType = "auto",
        ordering_field_name: Optional[str] = None,
@@ -3247,6 +3264,8 @@ class AsyncTable:
            if is_embedding(query):
                vector_query = query
                query_type = "vector"
+            elif isinstance(query, FullTextQuery):
+                query_type = "fts"
            elif isinstance(query, str):
                try:
                    (
@@ -3367,8 +3386,6 @@ class AsyncTable:
            async_query = async_query.nearest_to_text(
                query.full_text_query.query, query.full_text_query.columns
            )
-            if query.full_text_query.limit is not None:
-                async_query = async_query.limit(query.full_text_query.limit)

        return async_query

@@ -3388,6 +3405,11 @@ class AsyncTable:
        async_query = self._sync_query_to_async(query)
        return await async_query.explain_plan(verbose)

+    async def _analyze_plan(self, query: Query) -> str:
+        # This method is used by the sync table
+        async_query = self._sync_query_to_async(query)
+        return await async_query.analyze_plan()
+
    async def _do_merge(
        self,
        merge: LanceMergeInsertBuilder,
--- a/python/python/tests/docs/test_guide_tables.py
+++ b/python/python/tests/docs/test_guide_tables.py
@@ -315,6 +315,11 @@ def test_table():
    db = lancedb.connect(uri, read_consistency_interval=timedelta(seconds=5))
    tbl = db.open_table("test_table")
    # --8<-- [end:table_eventual_consistency]
+    # --8<-- [start:table_no_consistency]
+    uri = "data/sample-lancedb"
+    db = lancedb.connect(uri, read_consistency_interval=None)
+    tbl = db.open_table("test_table")
+    # --8<-- [end:table_no_consistency]
    # --8<-- [start:table_checkout_latest]
    tbl = db.open_table("test_table")

@@ -562,13 +567,19 @@ async def test_table_async():
    async_db = await lancedb.connect_async(uri, read_consistency_interval=timedelta(0))
    async_tbl = await async_db.open_table("test_table_async")
    # --8<-- [end:table_async_strong_consistency]
-    # --8<-- [start:table_async_ventual_consistency]
+    # --8<-- [start:table_async_eventual_consistency]
    uri = "data/sample-lancedb"
    async_db = await lancedb.connect_async(
        uri, read_consistency_interval=timedelta(seconds=5)
    )
    async_tbl = await async_db.open_table("test_table_async")
    # --8<-- [end:table_async_eventual_consistency]
+    # --8<-- [start:table_async_no_consistency]
+    uri = "data/sample-lancedb"
+    async_db = await lancedb.connect_async(uri, read_consistency_interval=None)
+    async_tbl = await async_db.open_table("test_table_async")
+    # --8<-- [end:table_async_no_consistency]
+
    # --8<-- [start:table_async_checkout_latest]
    async_tbl = await async_db.open_table("test_table_async")

--- a/python/python/tests/test_db.py
+++ b/python/python/tests/test_db.py
@@ -3,7 +3,6 @@


 import re
-from datetime import timedelta
 import os

 import lancedb
@@ -299,13 +298,11 @@ def test_create_exist_ok(tmp_db: lancedb.DBConnection):
@pytest.mark.asyncio
 async def test_connect(tmp_path):
    db = await lancedb.connect_async(tmp_path)
-    assert str(db) == f"ListingDatabase(uri={tmp_path}, read_consistency_interval=None)"
-
-    db = await lancedb.connect_async(
-        tmp_path, read_consistency_interval=timedelta(seconds=5)
-    )
    assert str(db) == f"ListingDatabase(uri={tmp_path}, read_consistency_interval=5s)"

+    db = await lancedb.connect_async(tmp_path, read_consistency_interval=None)
+    assert str(db) == f"ListingDatabase(uri={tmp_path}, read_consistency_interval=None)"
+

@pytest.mark.asyncio
 async def test_close(mem_db_async: lancedb.AsyncConnection):
@@ -453,7 +450,7 @@ async def test_open_table(tmp_path):
    assert tbl.name == "test"
    assert (
        re.search(
-            r"NativeTable\(test, uri=.*test\.lance, read_consistency_interval=None\)",
+            r"NativeTable\(test, uri=.*test\.lance, read_consistency_interval=5s\)",
            str(tbl),
        )
        is not None
--- a/python/python/tests/test_fts.py
+++ b/python/python/tests/test_fts.py
@@ -20,6 +20,7 @@ from unittest import mock
 import lancedb as ldb
 from lancedb.db import DBConnection
 from lancedb.index import FTS
+from lancedb.query import BoostQuery, MatchQuery, MultiMatchQuery, PhraseQuery
 import numpy as np
 import pandas as pd
 import pytest
@@ -178,11 +179,47 @@ def test_search_fts(table, use_tantivy):
    results = table.search("puppy").select(["id", "text"]).to_list()
    assert len(results) == 10

+    if not use_tantivy:
+        # Test with a query
+        results = (
+            table.search(MatchQuery("puppy", "text"))
+            .select(["id", "text"])
+            .limit(5)
+            .to_list()
+        )
+        assert len(results) == 5
+
+        # Test boost query
+        results = (
+            table.search(
+                BoostQuery(
+                    MatchQuery("puppy", "text"),
+                    MatchQuery("runs", "text"),
+                )
+            )
+            .select(["id", "text"])
+            .limit(5)
+            .to_list()
+        )
+        assert len(results) == 5
+
+        # Test multi match query
+        table.create_fts_index("text2", use_tantivy=use_tantivy)
+        results = (
+            table.search(MultiMatchQuery("puppy", ["text", "text2"]))
+            .select(["id", "text"])
+            .limit(5)
+            .to_list()
+        )
+        assert len(results) == 5
+        assert len(results[0]) == 3  # id, text, _score
+

@pytest.mark.asyncio
 async def test_fts_select_async(async_table):
    tbl = await async_table
    await tbl.create_index("text", config=FTS())
+    await tbl.create_index("text2", config=FTS())
    results = (
        await tbl.query()
        .nearest_to_text("puppy")
@@ -193,6 +230,54 @@ async def test_fts_select_async(async_table):
    assert len(results) == 5
    assert len(results[0]) == 3  # id, text, _score

+    # Test with FullTextQuery
+    results = (
+        await tbl.query()
+        .nearest_to_text(MatchQuery("puppy", "text"))
+        .select(["id", "text"])
+        .limit(5)
+        .to_list()
+    )
+    assert len(results) == 5
+    assert len(results[0]) == 3  # id, text, _score
+
+    # Test with BoostQuery
+    results = (
+        await tbl.query()
+        .nearest_to_text(
+            BoostQuery(
+                MatchQuery("puppy", "text"),
+                MatchQuery("runs", "text"),
+            )
+        )
+        .select(["id", "text"])
+        .limit(5)
+        .to_list()
+    )
+    assert len(results) == 5
+    assert len(results[0]) == 3  # id, text, _score
+
+    # Test with MultiMatchQuery
+    results = (
+        await tbl.query()
+        .nearest_to_text(MultiMatchQuery("puppy", ["text", "text2"]))
+        .select(["id", "text"])
+        .limit(5)
+        .to_list()
+    )
+    assert len(results) == 5
+    assert len(results[0]) == 3  # id, text, _score
+
+    # Test with search() API
+    results = (
+        await (await tbl.search(MatchQuery("puppy", "text")))
+        .select(["id", "text"])
+        .limit(5)
+        .to_list()
+    )
+    assert len(results) == 5
+    assert len(results[0]) == 3  # id, text, _score
+

 def test_search_fts_phrase_query(table):
    table.create_fts_index("text", use_tantivy=False, with_position=False)
@@ -207,6 +292,13 @@ def test_search_fts_phrase_query(table):
    assert len(results) > len(phrase_results)
    assert len(phrase_results) > 0

+    # Test with a query
+    phrase_results = (
+        table.search(PhraseQuery("puppy runs", "text")).limit(100).to_list()
+    )
+    assert len(results) > len(phrase_results)
+    assert len(phrase_results) > 0
+

@pytest.mark.asyncio
 async def test_search_fts_phrase_query_async(async_table):
@@ -227,6 +319,16 @@ async def test_search_fts_phrase_query_async(async_table):
    assert len(results) > len(phrase_results)
    assert len(phrase_results) > 0

+    # Test with a query
+    phrase_results = (
+        await async_table.query()
+        .nearest_to_text(PhraseQuery("puppy runs", "text"))
+        .limit(100)
+        .to_list()
+    )
+    assert len(results) > len(phrase_results)
+    assert len(phrase_results) > 0
+

 def test_search_fts_specify_column(table):
    table.create_fts_index("text", use_tantivy=False)
--- a/python/python/tests/test_hybrid_query.py
+++ b/python/python/tests/test_hybrid_query.py
@@ -114,6 +114,16 @@ async def test_explain_plan(table: AsyncTable):
    assert "LanceScan" in plan


+@pytest.mark.asyncio
+async def test_analyze_plan(table: AsyncTable):
+    res = await (
+        table.query().nearest_to_text("dog").nearest_to([0.1, 0.1]).analyze_plan()
+    )
+
+    assert "AnalyzeExec" in res
+    assert "metrics=" in res
+
+
 def test_normalize_scores():
    cases = [
        (pa.array([0.1, 0.4]), pa.array([0.0, 1.0])),
--- a/python/python/tests/test_index.py
+++ b/python/python/tests/test_index.py
@@ -31,6 +31,7 @@ async def some_table(db_async):
        {
            "id": list(range(NROWS)),
            "vector": sample_fixed_size_list_array(NROWS, DIM),
+            "fsb": pa.array([bytes([i]) for i in range(NROWS)], pa.binary(1)),
            "tags": [
                [f"tag{random.randint(0, 8)}" for _ in range(2)] for _ in range(NROWS)
            ],
@@ -85,6 +86,16 @@ async def test_create_scalar_index(some_table: AsyncTable):
    assert len(indices) == 0


+@pytest.mark.asyncio
+async def test_create_fixed_size_binary_index(some_table: AsyncTable):
+    await some_table.create_index("fsb", config=BTree())
+    indices = await some_table.list_indices()
+    assert str(indices) == '[Index(BTree, columns=["fsb"], name="fsb_idx")]'
+    assert len(indices) == 1
+    assert indices[0].index_type == "BTree"
+    assert indices[0].columns == ["fsb"]
+
+
@pytest.mark.asyncio
 async def test_create_bitmap_index(some_table: AsyncTable):
    await some_table.create_index("id", config=Bitmap())
--- a/python/python/tests/test_query.py
+++ b/python/python/tests/test_query.py
@@ -702,6 +702,20 @@ async def test_fast_search_async(tmp_path):
    assert "LanceScan" not in plan


+def test_analyze_plan(table):
+    q = LanceVectorQueryBuilder(table, [0, 0], "vector")
+    res = q.analyze_plan()
+    assert "AnalyzeExec" in res
+    assert "metrics=" in res
+
+
+@pytest.mark.asyncio
+async def test_analyze_plan_async(table_async: AsyncTable):
+    res = await table_async.query().nearest_to(pa.array([1, 2])).analyze_plan()
+    assert "AnalyzeExec" in res
+    assert "metrics=" in res
+
+
 def test_explain_plan(table):
    q = LanceVectorQueryBuilder(table, [0, 0], "vector")
    plan = q.explain_plan(verbose=True)
--- a/python/python/tests/test_remote_db.py
+++ b/python/python/tests/test_remote_db.py
@@ -444,6 +444,16 @@ def test_query_sync_fts():
            "prefilter": True,
            "with_row_id": True,
            "version": None,
+        } or body == {
+            "full_text_query": {
+                "query": "puppy",
+                "columns": ["description", "name"],
+            },
+            "k": 42,
+            "vector": [],
+            "prefilter": True,
+            "with_row_id": True,
+            "version": None,
        }

        return pa.table({"id": [1, 2, 3]})
--- a/python/python/tests/test_table.py
+++ b/python/python/tests/test_table.py
@@ -32,7 +32,11 @@ def test_basic(mem_db: DBConnection):
    table = mem_db.create_table("test", data=data)

    assert table.name == "test"
-    assert "LanceTable(name='test', version=1, _conn=LanceDBConnection(" in repr(table)
+    assert (
+        "LanceTable(name='test', version=1, "
+        "read_consistency_interval=datetime.timedelta(seconds=5), "
+        "_conn=LanceDBConnection("
+    ) in repr(table)
    expected_schema = pa.schema(
        {
            "vector": pa.list_(pa.float32(), 2),
--- a/python/src/connection.rs
+++ b/python/src/connection.rs
@@ -204,7 +204,9 @@ pub fn connect(
        }
        if let Some(read_consistency_interval) = read_consistency_interval {
            let read_consistency_interval = Duration::from_secs_f64(read_consistency_interval);
-            builder = builder.read_consistency_interval(read_consistency_interval);
+            builder = builder.read_consistency_interval(Some(read_consistency_interval));
+        } else {
+            builder = builder.read_consistency_interval(None);
        }
        if let Some(storage_options) = storage_options {
            builder = builder.storage_options(storage_options);
--- a/python/src/query.rs
+++ b/python/src/query.rs
@@ -8,19 +8,19 @@ use arrow::array::Array;
 use arrow::array::ArrayData;
 use arrow::pyarrow::FromPyArrow;
 use arrow::pyarrow::IntoPyArrow;
-use lancedb::index::scalar::FullTextSearchQuery;
+use lancedb::index::scalar::{FtsQuery, FullTextSearchQuery, MatchQuery, PhraseQuery};
 use lancedb::query::QueryExecutionOptions;
 use lancedb::query::QueryFilter;
 use lancedb::query::{
    ExecutableQuery, Query as LanceDbQuery, QueryBase, Select, VectorQuery as LanceDbVectorQuery,
 };
 use lancedb::table::AnyQuery;
-use pyo3::exceptions::PyNotImplementedError;
 use pyo3::exceptions::PyRuntimeError;
+use pyo3::exceptions::{PyNotImplementedError, PyValueError};
 use pyo3::prelude::{PyAnyMethods, PyDictMethods};
 use pyo3::pymethods;
-use pyo3::types::PyDict;
 use pyo3::types::PyList;
+use pyo3::types::{PyDict, PyString};
 use pyo3::Bound;
 use pyo3::IntoPyObject;
 use pyo3::PyAny;
@@ -31,7 +31,7 @@ use pyo3_async_runtimes::tokio::future_into_py;

 use crate::arrow::RecordBatchStream;
 use crate::error::PythonErrorExt;
-use crate::util::parse_distance_type;
+use crate::util::{parse_distance_type, parse_fts_query};

 // Python representation of full text search parameters
 #[derive(Clone)]
@@ -46,8 +46,8 @@ pub struct PyFullTextSearchQuery {
 impl From<FullTextSearchQuery> for PyFullTextSearchQuery {
    fn from(query: FullTextSearchQuery) -> Self {
        PyFullTextSearchQuery {
-            columns: query.columns,
-            query: query.query,
+            columns: query.columns().into_iter().collect(),
+            query: query.query.query().to_owned(),
            limit: query.limit,
            wand_factor: query.wand_factor,
        }
@@ -236,22 +236,61 @@ impl Query {
    }

    pub fn nearest_to_text(&mut self, query: Bound<'_, PyDict>) -> PyResult<FTSQuery> {
-        let query_text = query
+        let fts_query = query
            .get_item("query")?
            .ok_or(PyErr::new::<PyRuntimeError, _>(
                "Query text is required for nearest_to_text",
-            ))?
-            .extract::<String>()?;
-        let columns = query
-            .get_item("columns")?
-            .map(|columns| columns.extract::<Vec<String>>())
-            .transpose()?;
+            ))?;

-        let fts_query = FullTextSearchQuery::new(query_text).columns(columns);
+        let query = if let Ok(query_text) = fts_query.downcast::<PyString>() {
+            let mut query_text = query_text.to_string();
+            let columns = query
+                .get_item("columns")?
+                .map(|columns| columns.extract::<Vec<String>>())
+                .transpose()?;
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(PyValueError::new_err(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        PyValueError::new_err(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Ok(query) = fts_query.downcast::<PyDict>() {
+            let query = parse_fts_query(query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(PyValueError::new_err(
+                "query must be a string or a Query object",
+            ));
+        };

        Ok(FTSQuery {
-            fts_query,
            inner: self.inner.clone(),
+            fts_query: query,
        })
    }

@@ -281,6 +320,16 @@ impl Query {
        })
    }

+    pub fn analyze_plan(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            inner
+                .analyze_plan()
+                .await
+                .map_err(|e| PyRuntimeError::new_err(e.to_string()))
+        })
+    }
+
    pub fn to_query_request(&self) -> PyQueryRequest {
        PyQueryRequest::from(AnyQuery::Query(self.inner.clone().into_request()))
    }
@@ -365,8 +414,18 @@ impl FTSQuery {
        })
    }

+    pub fn analyze_plan(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            inner
+                .analyze_plan()
+                .await
+                .map_err(|e| PyRuntimeError::new_err(e.to_string()))
+        })
+    }
+
    pub fn get_query(&self) -> String {
-        self.fts_query.query.clone()
+        self.fts_query.query.query().to_owned()
    }

    pub fn to_query_request(&self) -> PyQueryRequest {
@@ -480,6 +539,16 @@ impl VectorQuery {
        })
    }

+    pub fn analyze_plan(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.inner.clone();
+        future_into_py(self_.py(), async move {
+            inner
+                .analyze_plan()
+                .await
+                .map_err(|e| PyRuntimeError::new_err(e.to_string()))
+        })
+    }
+
    pub fn nearest_to_text(&mut self, query: Bound<'_, PyDict>) -> PyResult<HybridQuery> {
        let base_query = self.inner.clone().into_plain();
        let fts_query = Query::new(base_query).nearest_to_text(query)?;
--- a/python/src/util.rs
+++ b/python/src/util.rs
@@ -3,11 +3,15 @@

 use std::sync::Mutex;

+use lancedb::index::scalar::{BoostQuery, FtsQuery, MatchQuery, MultiMatchQuery, PhraseQuery};
 use lancedb::DistanceType;
+use pyo3::prelude::{PyAnyMethods, PyDictMethods, PyListMethods};
+use pyo3::types::PyDict;
 use pyo3::{
    exceptions::{PyRuntimeError, PyValueError},
    pyfunction, PyResult,
 };
+use pyo3::{Bound, PyAny};

 /// A wrapper around a rust builder
 ///
@@ -59,3 +63,116 @@ pub fn validate_table_name(table_name: &str) -> PyResult<()> {
    lancedb::utils::validate_table_name(table_name)
        .map_err(|e| PyValueError::new_err(e.to_string()))
 }
+
+pub fn parse_fts_query(query: &Bound<'_, PyDict>) -> PyResult<FtsQuery> {
+    let query_type = query.keys().get_item(0)?.extract::<String>()?;
+    let query_value = query
+        .get_item(&query_type)?
+        .ok_or(PyValueError::new_err(format!(
+            "Query type {} not found",
+            query_type
+        )))?;
+    let query_value = query_value.downcast::<PyDict>()?;
+
+    match query_type.as_str() {
+        "match" => {
+            let column = query_value.keys().get_item(0)?.extract::<String>()?;
+            let params = query_value
+                .get_item(&column)?
+                .ok_or(PyValueError::new_err(format!(
+                    "column {} not found",
+                    column
+                )))?;
+            let params = params.downcast::<PyDict>()?;
+
+            let query = params
+                .get_item("query")?
+                .ok_or(PyValueError::new_err("query not found"))?
+                .extract::<String>()?;
+            let boost = params
+                .get_item("boost")?
+                .ok_or(PyValueError::new_err("boost not found"))?
+                .extract::<f32>()?;
+            let fuzziness = params
+                .get_item("fuzziness")?
+                .ok_or(PyValueError::new_err("fuzziness not found"))?
+                .extract::<Option<u32>>()?;
+            let max_expansions = params
+                .get_item("max_expansions")?
+                .ok_or(PyValueError::new_err("max_expansions not found"))?
+                .extract::<usize>()?;
+
+            let query = MatchQuery::new(query)
+                .with_column(Some(column))
+                .with_boost(boost)
+                .with_fuzziness(fuzziness)
+                .with_max_expansions(max_expansions);
+            Ok(query.into())
+        }
+
+        "match_phrase" => {
+            let column = query_value.keys().get_item(0)?.extract::<String>()?;
+            let query = query_value
+                .get_item(&column)?
+                .ok_or(PyValueError::new_err(format!(
+                    "column {} not found",
+                    column
+                )))?
+                .extract::<String>()?;
+
+            let query = PhraseQuery::new(query).with_column(Some(column));
+            Ok(query.into())
+        }
+
+        "boost" => {
+            let positive: Bound<'_, PyAny> = query_value
+                .get_item("positive")?
+                .ok_or(PyValueError::new_err("positive not found"))?;
+            let positive = positive.downcast::<PyDict>()?;
+
+            let negative = query_value
+                .get_item("negative")?
+                .ok_or(PyValueError::new_err("negative not found"))?;
+            let negative = negative.downcast::<PyDict>()?;
+
+            let negative_boost = query_value
+                .get_item("negative_boost")?
+                .ok_or(PyValueError::new_err("negative_boost not found"))?
+                .extract::<f32>()?;
+
+            let positive_query = parse_fts_query(positive)?;
+            let negative_query = parse_fts_query(negative)?;
+            let query = BoostQuery::new(positive_query, negative_query, Some(negative_boost));
+
+            Ok(query.into())
+        }
+
+        "multi_match" => {
+            let query = query_value
+                .get_item("query")?
+                .ok_or(PyValueError::new_err("query not found"))?
+                .extract::<String>()?;
+
+            let columns = query_value
+                .get_item("columns")?
+                .ok_or(PyValueError::new_err("columns not found"))?
+                .extract::<Vec<String>>()?;
+
+            let boost = query_value
+                .get_item("boost")?
+                .ok_or(PyValueError::new_err("boost not found"))?
+                .extract::<Vec<f32>>()?;
+
+            let query =
+                MultiMatchQuery::try_new_with_boosts(query, columns, boost).map_err(|e| {
+                    PyValueError::new_err(format!("Error creating MultiMatchQuery: {}", e))
+                })?;
+            Ok(query.into())
+        }
+
+        _ => Err(PyValueError::new_err(format!(
+            "Unsupported query type: {}",
+            query_type
+        ))),
+    }
+}
--- a/rust/ffi/node/Cargo.toml
+++ b/rust/ffi/node/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-node"
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 description = "Serverless, low-latency vector database for AI applications"
 license.workspace = true
 edition.workspace = true
--- a/rust/ffi/node/src/lib.rs
+++ b/rust/ffi/node/src/lib.rs
@@ -60,7 +60,7 @@ fn database_new(mut cx: FunctionContext) -> JsResult<JsPromise> {
    let mut conn_builder = connect(&path).storage_options(storage_options);

    if let Some(interval) = read_consistency_interval {
-        conn_builder = conn_builder.read_consistency_interval(interval);
+        conn_builder = conn_builder.read_consistency_interval(Some(interval));
    }
    rt.spawn(async move {
        let database = conn_builder.execute().await;
--- a/rust/lancedb/Cargo.toml
+++ b/rust/lancedb/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.18.2-beta.0"
+version = "0.19.0-beta.2"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
--- a/rust/lancedb/src/catalog/listing.rs
+++ b/rust/lancedb/src/catalog/listing.rs
@@ -12,7 +12,7 @@ use super::{
    Catalog, CatalogOptions, CreateDatabaseMode, CreateDatabaseRequest, DatabaseNamesRequest,
    OpenDatabaseRequest,
 };
-use crate::connection::ConnectRequest;
+use crate::connection::{ConnectRequest, DEFAULT_READ_CONSISTENCY_INTERVAL};
 use crate::database::listing::{ListingDatabase, ListingDatabaseOptions};
 use crate::database::{Database, DatabaseOptions};
 use crate::error::{CreateDirSnafu, Error, Result};
@@ -214,7 +214,7 @@ impl Catalog for ListingCatalog {
            uri: db_uri,
            #[cfg(feature = "remote")]
            client_config: Default::default(),
-            read_consistency_interval: None,
+            read_consistency_interval: DEFAULT_READ_CONSISTENCY_INTERVAL,
            options: Default::default(),
        };

@@ -241,7 +241,7 @@ impl Catalog for ListingCatalog {
            uri: db_path.to_string(),
            #[cfg(feature = "remote")]
            client_config: Default::default(),
-            read_consistency_interval: None,
+            read_consistency_interval: DEFAULT_READ_CONSISTENCY_INTERVAL,
            options: Default::default(),
        };

@@ -311,7 +311,7 @@ mod tests {
            #[cfg(feature = "remote")]
            client_config: Default::default(),
            options: Default::default(),
-            read_consistency_interval: None,
+            read_consistency_interval: DEFAULT_READ_CONSISTENCY_INTERVAL,
        };

        let catalog = ListingCatalog::connect(&request).await.unwrap();
--- a/rust/lancedb/src/connection.rs
+++ b/rust/lancedb/src/connection.rs
@@ -36,6 +36,9 @@ pub use lance_encoding::version::LanceFileVersion;
 #[cfg(feature = "remote")]
 use lance_io::object_store::StorageOptions;

+pub(crate) const DEFAULT_READ_CONSISTENCY_INTERVAL: Option<std::time::Duration> =
+    Some(std::time::Duration::from_secs(5));
+
 /// A builder for configuring a [`Connection::table_names`] operation
 pub struct TableNamesBuilder {
    parent: Arc<dyn Database>,
@@ -618,14 +621,15 @@ pub struct ConnectRequest {

    /// The interval at which to check for updates from other processes.
    ///
-    /// If None, then consistency is not checked. For performance
-    /// reasons, this is the default. For strong consistency, set this to
+    /// If None, then consistency is not checked. For strong consistency, set this to
    /// zero seconds. Then every read will check for updates from other
    /// processes. As a compromise, you can set this to a non-zero timedelta
    /// for eventual consistency. If more than that interval has passed since
    /// the last check, then the table will be checked for updates. Note: this
    /// consistency only applies to read operations. Write operations are
    /// always consistent.
+    ///
+    /// The default is 5 seconds.
    pub read_consistency_interval: Option<std::time::Duration>,
 }

@@ -643,7 +647,7 @@ impl ConnectBuilder {
                uri: uri.to_string(),
                #[cfg(feature = "remote")]
                client_config: Default::default(),
-                read_consistency_interval: None,
+                read_consistency_interval: DEFAULT_READ_CONSISTENCY_INTERVAL,
                options: HashMap::new(),
            },
            embedding_registry: None,
@@ -782,8 +786,7 @@ impl ConnectBuilder {
    /// The interval at which to check for updates from other processes. This
    /// only affects LanceDB OSS.
    ///
-    /// If left unset, consistency is not checked. For maximum read
-    /// performance, this is the default. For strong consistency, set this to
+    /// If left unset, consistency is not checked. For strong consistency, set this to
    /// zero seconds. Then every read will check for updates from other processes.
    /// As a compromise, set this to a non-zero duration for eventual consistency.
    /// If more than that duration has passed since the last read, the read will
@@ -792,13 +795,15 @@ impl ConnectBuilder {
    /// This only affects read operations. Write operations are always
    /// consistent.
    ///
+    /// The default is 5 seconds.
+    ///
    /// LanceDB Cloud uses eventual consistency under the hood, and is not
    /// currently configurable.
    pub fn read_consistency_interval(
        mut self,
-        read_consistency_interval: std::time::Duration,
+        read_consistency_interval: Option<std::time::Duration>,
    ) -> Self {
-        self.request.read_consistency_interval = Some(read_consistency_interval);
+        self.request.read_consistency_interval = read_consistency_interval;
        self
    }

@@ -882,7 +887,7 @@ impl CatalogConnectBuilder {
                uri: uri.to_string(),
                #[cfg(feature = "remote")]
                client_config: Default::default(),
-                read_consistency_interval: None,
+                read_consistency_interval: DEFAULT_READ_CONSISTENCY_INTERVAL,
                options: HashMap::new(),
            },
        }
--- a/rust/lancedb/src/index/scalar.rs
+++ b/rust/lancedb/src/index/scalar.rs
@@ -80,5 +80,6 @@ impl FtsIndexBuilder {
    }
 }

+pub use lance_index::scalar::inverted::query::*;
 pub use lance_index::scalar::inverted::TokenizerConfig;
 pub use lance_index::scalar::FullTextSearchQuery;
--- a/rust/lancedb/src/query.rs
+++ b/rust/lancedb/src/query.rs
@@ -579,6 +579,15 @@ pub trait ExecutableQuery {
    ) -> impl Future<Output = Result<SendableRecordBatchStream>> + Send;

    fn explain_plan(&self, verbose: bool) -> impl Future<Output = Result<String>> + Send;
+
+    fn analyze_plan(&self) -> impl Future<Output = Result<String>> + Send {
+        self.analyze_plan_with_options(QueryExecutionOptions::default())
+    }
+
+    fn analyze_plan_with_options(
+        &self,
+        options: QueryExecutionOptions,
+    ) -> impl Future<Output = Result<String>> + Send;
 }

 /// A query filter that can be applied to a query
@@ -765,6 +774,11 @@ impl ExecutableQuery for Query {
        let query = AnyQuery::Query(self.request.clone());
        self.parent.explain_plan(&query, verbose).await
    }
+
+    async fn analyze_plan_with_options(&self, options: QueryExecutionOptions) -> Result<String> {
+        let query = AnyQuery::Query(self.request.clone());
+        self.parent.analyze_plan(&query, options).await
+    }
 }

 /// A request for a nearest-neighbors search into a table
@@ -1042,7 +1056,7 @@ impl VectorQuery {
            })?;

        let mut results = reranker
-            .rerank_hybrid(&fts_query.query, vec_results, fts_results)
+            .rerank_hybrid(&fts_query.query.query(), vec_results, fts_results)
            .await?;

        check_reranker_result(&results)?;
@@ -1089,6 +1103,11 @@ impl ExecutableQuery for VectorQuery {
        let query = AnyQuery::VectorQuery(self.request.clone());
        self.parent.explain_plan(&query, verbose).await
    }
+
+    async fn analyze_plan_with_options(&self, options: QueryExecutionOptions) -> Result<String> {
+        let query = AnyQuery::VectorQuery(self.request.clone());
+        self.parent.analyze_plan(&query, options).await
+    }
 }

 impl HasQuery for VectorQuery {
@@ -1370,6 +1389,31 @@ mod tests {
        }
    }

+    #[tokio::test]
+    async fn test_analyze_plan() {
+        let tmp_dir = tempdir().unwrap();
+        let table = make_test_table(&tmp_dir).await;
+
+        let result = table.query().analyze_plan().await.unwrap();
+        assert!(result.contains("metrics="));
+    }
+
+    #[tokio::test]
+    async fn test_analyze_plan_with_options() {
+        let tmp_dir = tempdir().unwrap();
+        let table = make_test_table(&tmp_dir).await;
+
+        let result = table
+            .query()
+            .analyze_plan_with_options(QueryExecutionOptions {
+                max_batch_length: 10,
+                ..Default::default()
+            })
+            .await
+            .unwrap();
+        assert!(result.contains("metrics="));
+    }
+
    fn assert_plan_exists(plan: &Arc<dyn ExecutionPlan>, name: &str) -> bool {
        if plan.name() == name {
            return true;
--- a/rust/lancedb/src/remote/db.rs
+++ b/rust/lancedb/src/remote/db.rs
@@ -52,6 +52,10 @@ impl ServerVersion {
    pub fn support_multivector(&self) -> bool {
        self.0 >= semver::Version::new(0, 2, 0)
    }
+
+    pub fn support_structural_fts(&self) -> bool {
+        self.0 >= semver::Version::new(0, 3, 0)
+    }
 }

 pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
--- a/rust/lancedb/src/remote/table.rs
+++ b/rust/lancedb/src/remote/table.rs
@@ -155,7 +155,11 @@ impl<S: HttpSend> RemoteTable<S> {
        Ok(Box::pin(RecordBatchStreamAdapter::new(schema, stream)))
    }

-    fn apply_query_params(body: &mut serde_json::Value, params: &QueryRequest) -> Result<()> {
+    fn apply_query_params(
+        &self,
+        body: &mut serde_json::Value,
+        params: &QueryRequest,
+    ) -> Result<()> {
        body["prefilter"] = params.prefilter.into();
        if let Some(offset) = params.offset {
            body["offset"] = serde_json::Value::Number(serde_json::Number::from(offset));
@@ -209,10 +213,17 @@ impl<S: HttpSend> RemoteTable<S> {
                    message: "Wand factor is not yet supported in LanceDB Cloud".into(),
                });
            }
-            body["full_text_query"] = serde_json::json!({
-                "columns": full_text_search.columns,
-                "query": full_text_search.query,
-            })
+
+            if self.server_version.support_structural_fts() {
+                body["full_text_query"] = serde_json::json!({
+                    "query": full_text_search.query.clone(),
+                });
+            } else {
+                body["full_text_query"] = serde_json::json!({
+                    "columns": full_text_search.columns().into_iter().collect::<Vec<_>>(),
+                    "query": full_text_search.query.query(),
+                })
+            }
        }

        Ok(())
@@ -223,7 +234,7 @@ impl<S: HttpSend> RemoteTable<S> {
        mut body: serde_json::Value,
        query: &VectorQueryRequest,
    ) -> Result<Vec<serde_json::Value>> {
-        Self::apply_query_params(&mut body, &query.base)?;
+        self.apply_query_params(&mut body, &query.base)?;

        // Apply general parameters, before we dispatch based on number of query vectors.
        body["distance_type"] = serde_json::json!(query.distance_type.unwrap_or_default());
@@ -346,7 +357,7 @@ impl<S: HttpSend> RemoteTable<S> {
        match query {
            AnyQuery::Query(query) => {
                let mut body = base_body.clone();
-                Self::apply_query_params(&mut body, query)?;
+                self.apply_query_params(&mut body, query)?;
                // Empty vector can be passed if no vector search is performed.
                body["vector"] = serde_json::Value::Array(Vec::new());
                Ok(vec![body])
@@ -434,6 +445,7 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {

        let (request_id, response) = self.client.send(request, true).await?;
        self.check_table_response(&request_id, response).await?;
+        self.checkout_latest().await?;
        Ok(())
    }

@@ -614,6 +626,48 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        Ok(final_plan)
    }

+    async fn analyze_plan(
+        &self,
+        query: &AnyQuery,
+        _options: QueryExecutionOptions,
+    ) -> Result<String> {
+        let request = self
+            .client
+            .post(&format!("/v1/table/{}/analyze_plan/", self.name));
+
+        let query_bodies = self.prepare_query_bodies(query).await?;
+        let requests: Vec<reqwest::RequestBuilder> = query_bodies
+            .into_iter()
+            .map(|body| request.try_clone().unwrap().json(&body))
+            .collect();
+
+        let futures = requests.into_iter().map(|req| async move {
+            let (request_id, response) = self.client.send(req, true).await?;
+            let response = self.check_table_response(&request_id, response).await?;
+            let body = response.text().await.err_to_http(request_id.clone())?;
+
+            serde_json::from_str(&body).map_err(|e| Error::Http {
+                source: format!("Failed to execute analyze plan: {}", e).into(),
+                request_id,
+                status_code: None,
+            })
+        });
+
+        let analyze_result_texts = futures::future::try_join_all(futures).await?;
+        let final_analyze = if analyze_result_texts.len() > 1 {
+            analyze_result_texts
+                .into_iter()
+                .enumerate()
+                .map(|(i, plan)| format!("--- Query #{} ---\n{}", i + 1, plan))
+                .collect::<Vec<_>>()
+                .join("\n\n")
+        } else {
+            analyze_result_texts.into_iter().next().unwrap_or_default()
+        };
+
+        Ok(final_analyze)
+    }
+
    async fn update(&self, update: UpdateBuilder) -> Result<u64> {
        self.check_mutable().await?;
        let request = self
@@ -994,6 +1048,7 @@ mod tests {
    use arrow_schema::{DataType, Field, Schema};
    use chrono::{DateTime, Utc};
    use futures::{future::BoxFuture, StreamExt, TryFutureExt};
+    use lance_index::scalar::inverted::query::MatchQuery;
    use lance_index::scalar::FullTextSearchQuery;
    use reqwest::Body;
    use rstest::rstest;
@@ -1640,7 +1695,18 @@ mod tests {
                "prefilter": true,
                "version": null
            });
-            assert_eq!(body, expected_body);
+            let expected_body_2 = serde_json::json!({
+                "full_text_query": {
+                    "columns": ["b","a"],
+                    "query": "hello world",
+                },
+                "k": 10,
+                "vector": [],
+                "with_row_id": true,
+                "prefilter": true,
+                "version": null
+            });
+            assert!(body == expected_body || body == expected_body_2);

            let data = RecordBatch::try_new(
                Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
@@ -1659,7 +1725,8 @@ mod tests {
            .query()
            .full_text_search(
                FullTextSearchQuery::new("hello world".into())
-                    .columns(Some(vec!["a".into(), "b".into()])),
+                    .with_columns(&["a".into(), "b".into()])
+                    .unwrap(),
            )
            .with_row_id()
            .limit(10)
@@ -1668,6 +1735,66 @@ mod tests {
            .unwrap();
    }

+    #[tokio::test]
+    async fn test_query_structured_fts() {
+        let table =
+            Table::new_with_handler_version("my_table", semver::Version::new(0, 3, 0), |request| {
+                assert_eq!(request.method(), "POST");
+                assert_eq!(request.url().path(), "/v1/table/my_table/query/");
+                assert_eq!(
+                    request.headers().get("Content-Type").unwrap(),
+                    JSON_CONTENT_TYPE
+                );
+
+                let body = request.body().unwrap().as_bytes().unwrap();
+                let body: serde_json::Value = serde_json::from_slice(body).unwrap();
+                let expected_body = serde_json::json!({
+                    "full_text_query": {
+                        "query": {
+                            "match": {
+                                "terms": "hello world",
+                                "column": "a",
+                                "boost": 1.0,
+                                "fuzziness": 0,
+                                "max_expansions": 50,
+                            },
+                        }
+                    },
+                    "k": 10,
+                    "vector": [],
+                    "with_row_id": true,
+                    "prefilter": true,
+                    "version": null
+                });
+                assert_eq!(body, expected_body);
+
+                let data = RecordBatch::try_new(
+                    Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
+                    vec![Arc::new(Int32Array::from(vec![1, 2, 3]))],
+                )
+                .unwrap();
+                let response_body = write_ipc_file(&data);
+                http::Response::builder()
+                    .status(200)
+                    .header(CONTENT_TYPE, ARROW_FILE_CONTENT_TYPE)
+                    .body(response_body)
+                    .unwrap()
+            });
+
+        let _ = table
+            .query()
+            .full_text_search(FullTextSearchQuery::new_query(
+                MatchQuery::new("hello world".to_owned())
+                    .with_column(Some("a".to_owned()))
+                    .into(),
+            ))
+            .with_row_id()
+            .limit(10)
+            .execute()
+            .await
+            .unwrap();
+    }
+
    #[rstest]
    #[case(DEFAULT_SERVER_VERSION.clone())]
    #[case(semver::Version::new(0, 2, 0))]
--- a/rust/lancedb/src/table.rs
+++ b/rust/lancedb/src/table.rs
@@ -33,7 +33,7 @@ use lance::dataset::{
 use lance::dataset::{MergeInsertBuilder as LanceMergeInsertBuilder, WhenNotMatchedBySource};
 use lance::index::vector::utils::infer_vector_dim;
 use lance::io::WrappingObjectStore;
-use lance_datafusion::exec::execute_plan;
+use lance_datafusion::exec::{analyze_plan as lance_analyze_plan, execute_plan};
 use lance_datafusion::utils::StreamingWriteSource;
 use lance_index::vector::hnsw::builder::HnswBuildParams;
 use lance_index::vector::ivf::IvfBuildParams;
@@ -433,6 +433,12 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {

        Ok(format!("{}", display.indent(verbose)))
    }
+    async fn analyze_plan(
+        &self,
+        query: &AnyQuery,
+        options: QueryExecutionOptions,
+    ) -> Result<String>;
+
    /// Add new records to the table.
    async fn add(
        &self,
@@ -2192,6 +2198,15 @@ impl BaseTable for NativeTable {
        self.generic_query(query, options).await
    }

+    async fn analyze_plan(
+        &self,
+        query: &AnyQuery,
+        options: QueryExecutionOptions,
+    ) -> Result<String> {
+        let plan = self.create_plan(query, options).await?;
+        Ok(lance_analyze_plan(plan, Default::default()).await?)
+    }
+
    async fn merge_insert(
        &self,
        params: MergeInsertBuilder,
@@ -2611,7 +2626,7 @@ mod tests {
        let dataset_path = tmp_dir.path().join("test.lance");
        let uri = dataset_path.to_str().unwrap();
        let conn = connect(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -2694,7 +2709,7 @@ mod tests {
        let dataset_path = tmp_dir.path().join("test.lance");
        let uri = dataset_path.to_str().unwrap();
        let conn = connect(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -2891,7 +2906,7 @@ mod tests {
        let dataset_path = tmp_dir.path().join("test.lance");
        let uri = dataset_path.to_str().unwrap();
        let conn = connect(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -3462,7 +3477,8 @@ mod tests {

            let mut conn2 = ConnectBuilder::new(uri);
            if let Some(interval) = interval {
-                conn2 = conn2.read_consistency_interval(std::time::Duration::from_millis(interval));
+                conn2 = conn2
+                    .read_consistency_interval(Some(std::time::Duration::from_millis(interval)));
            }
            let conn2 = conn2.execute().await.unwrap();
            let table2 = conn2.open_table("my_table").execute().await.unwrap();
@@ -3498,7 +3514,7 @@ mod tests {
        let uri = tmp_dir.path().to_str().unwrap();

        let conn = ConnectBuilder::new(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -3519,7 +3535,7 @@ mod tests {
        let uri = tmp_dir.path().to_str().unwrap();

        let conn = ConnectBuilder::new(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -3594,7 +3610,7 @@ mod tests {
        let uri = tmp_dir.path().to_str().unwrap();

        let conn = ConnectBuilder::new(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
@@ -3656,7 +3672,7 @@ mod tests {
        let uri = tmp_dir.path().to_str().unwrap();

        let conn = ConnectBuilder::new(uri)
-            .read_consistency_interval(Duration::from_secs(0))
+            .read_consistency_interval(Some(Duration::from_secs(0)))
            .execute()
            .await
            .unwrap();
--- a/rust/lancedb/src/table/dataset.rs
+++ b/rust/lancedb/src/table/dataset.rs
@@ -7,6 +7,7 @@ use std::{
    time::{self, Duration, Instant},
 };

+use futures::FutureExt;
 use lance::Dataset;
 use tokio::sync::{RwLock, RwLockReadGuard, RwLockWriteGuard};

@@ -22,13 +23,16 @@ pub struct DatasetConsistencyWrapper(Arc<RwLock<DatasetRef>>);
 ///
 /// The dataset is lazily loaded, and starts off as None. On the first access,
 /// the dataset is loaded.
-#[derive(Debug, Clone)]
+#[derive(Debug)]
 enum DatasetRef {
    /// In this mode, the dataset is always the latest version.
    Latest {
        dataset: Dataset,
        read_consistency_interval: Option<Duration>,
        last_consistency_check: Option<time::Instant>,
+        /// A background task loading the next version of the dataset. This happens
+        /// in the background so as not to block the current thread.
+        refresh_task: Option<tokio::task::JoinHandle<Result<Dataset>>>,
    },
    /// In this mode, the dataset is a specific version. It cannot be mutated.
    TimeTravel { dataset: Dataset, version: u64 },
@@ -41,9 +45,19 @@ impl DatasetRef {
            Self::Latest {
                dataset,
                last_consistency_check,
+                refresh_task,
                ..
            } => {
                dataset.checkout_latest().await?;
+                // Replace the refresh task
+                if let Some(refresh_task) = refresh_task {
+                    refresh_task.abort();
+                }
+                let mut new_dataset = dataset.clone();
+                refresh_task.replace(tokio::spawn(async move {
+                    new_dataset.checkout_latest().await?;
+                    Ok(new_dataset)
+                }));
                last_consistency_check.replace(Instant::now());
            }
            Self::TimeTravel { dataset, version } => {
@@ -57,26 +71,24 @@ impl DatasetRef {
        matches!(self, Self::Latest { .. })
    }

-    async fn need_reload(&self) -> Result<bool> {
-        Ok(match self {
-            Self::Latest { dataset, .. } => {
-                dataset.latest_version_id().await? != dataset.version().version
-            }
-            Self::TimeTravel { dataset, version } => dataset.version().version != *version,
-        })
+    fn strong_consistency(&self) -> bool {
+        matches!(
+            self,
+            Self::Latest { read_consistency_interval: Some(interval), .. }
+            if interval.as_nanos() == 0
+        )
    }

    async fn as_latest(&mut self, read_consistency_interval: Option<Duration>) -> Result<()> {
        match self {
            Self::Latest { .. } => Ok(()),
            Self::TimeTravel { dataset, .. } => {
-                dataset
-                    .checkout_version(dataset.latest_version_id().await?)
-                    .await?;
+                dataset.checkout_latest().await?;
                *self = Self::Latest {
                    dataset: dataset.clone(),
                    read_consistency_interval,
                    last_consistency_check: Some(Instant::now()),
+                    refresh_task: None,
                };
                Ok(())
            }
@@ -114,13 +126,74 @@ impl DatasetRef {
        match self {
            Self::Latest {
                dataset: ref mut ds,
+                refresh_task,
+                last_consistency_check,
                ..
            } => {
                *ds = dataset;
+                if let Some(refresh_task) = refresh_task {
+                    refresh_task.abort();
+                }
+                *refresh_task = None;
+                *last_consistency_check = Some(Instant::now());
            }
            _ => unreachable!("Dataset should be in latest mode at this point"),
        }
    }
+
+    /// Wait for the background refresh task to complete.
+    async fn await_refresh(&mut self) -> Result<()> {
+        if let Self::Latest {
+            refresh_task: Some(refresh_task),
+            read_consistency_interval,
+            ..
+        } = self
+        {
+            let dataset = refresh_task.await.expect("Refresh task panicked")?;
+            *self = Self::Latest {
+                dataset,
+                read_consistency_interval: *read_consistency_interval,
+                last_consistency_check: Some(Instant::now()),
+                refresh_task: None,
+            };
+        }
+        Ok(())
+    }
+
+    /// Check if background refresh task is done, and if so, update the dataset.
+    fn check_refresh(&mut self) -> Result<()> {
+        if let Self::Latest {
+            refresh_task: Some(refresh_task),
+            read_consistency_interval,
+            ..
+        } = self
+        {
+            if refresh_task.is_finished() {
+                let dataset = refresh_task
+                    .now_or_never()
+                    .unwrap()
+                    .expect("Refresh task panicked")?;
+                *self = Self::Latest {
+                    dataset,
+                    read_consistency_interval: *read_consistency_interval,
+                    last_consistency_check: Some(Instant::now()),
+                    refresh_task: None,
+                };
+            }
+        }
+        Ok(())
+    }
+
+    fn refresh_is_ready(&self) -> bool {
+        matches!(
+            self,
+            Self::Latest {
+                refresh_task: Some(refresh_task),
+                ..
+            }
+            if refresh_task.is_finished()
+        )
+    }
 }

 impl DatasetConsistencyWrapper {
@@ -130,6 +203,7 @@ impl DatasetConsistencyWrapper {
            dataset,
            read_consistency_interval,
            last_consistency_check: Some(Instant::now()),
+            refresh_task: None,
        })))
    }

@@ -188,18 +262,9 @@ impl DatasetConsistencyWrapper {
    }

    pub async fn reload(&self) -> Result<()> {
-        if !self.0.read().await.need_reload().await? {
-            return Ok(());
-        }
-
        let mut write_guard = self.0.write().await;
-        // on lock escalation -- check if someone else has already reloaded
-        if !write_guard.need_reload().await? {
-            return Ok(());
-        }
-
-        // actually need reloading
-        write_guard.reload().await
+        write_guard.reload().await?;
+        write_guard.await_refresh().await
    }

    /// Returns the version, if in time travel mode, or None otherwise
@@ -245,9 +310,26 @@ impl DatasetConsistencyWrapper {
    /// Ensures that the dataset is loaded and up-to-date with consistency and
    /// version parameters.
    async fn ensure_up_to_date(&self) -> Result<()> {
+        // We may have previously created a background task to fetch the new
+        // version of the dataset. If that task is done, we should update the
+        // dataset.
+        {
+            let read_guard = self.0.read().await;
+            if read_guard.refresh_is_ready() {
+                drop(read_guard);
+                self.0.write().await.check_refresh()?;
+            }
+        }
+
        if !self.is_up_to_date().await? {
            self.reload().await?;
        }
+
+        // If we are in strong consistency mode, we should await the refresh task.
+        if self.0.read().await.strong_consistency() {
+            self.0.write().await.await_refresh().await?;
+        }
+
        Ok(())
    }
 }
--- a/rust/lancedb/src/utils.rs
+++ b/rust/lancedb/src/utils.rs
@@ -135,6 +135,7 @@ pub fn supported_btree_data_type(dtype: &DataType) -> bool {
                | DataType::Date32
                | DataType::Date64
                | DataType::Timestamp(_, _)
+                | DataType::FixedSizeBinary(_)
        )
 }
Author	SHA1	Message	Date
Lance Release	f0bc08c0d7	Bump version: 0.22.0-beta.2 → 0.22.0-beta.3	2025-04-02 09:27:55 +00:00
BubbleCal	e52ac79c69	fix: can't do structured FTS in python (#2300 ) missed to support it in `search()` API and there were some pydantic errors <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - New Features - Enhanced full-text search capabilities by incorporating additional parameters, enabling more flexible query definitions. - Extended table search functionality to support full-text queries alongside existing search types. - Tests - Introduced new tests that validate both structured and conditional full-text search behaviors. - Expanded test coverage for various query types, including MatchQuery, BoostQuery, MultiMatchQuery, and PhraseQuery. - Bug Fixes - Fixed a logic issue in query processing to ensure correct handling of full-text search queries. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: BubbleCal <bubble-cal@outlook.com>	2025-04-02 17:27:15 +08:00
Will Jones	f091f57594	ci: fix lancedb musl builds (#2296 ) Fixes #2255 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - Chores - Enhanced the build process to improve performance and reliability across Linux platforms. - Updated environment settings for more accurate compiler integration. - Activated previously inactive build configurations to support advanced feature support. - Added support for the x86_64 architecture on Linux systems utilizing the musl C library. <!-- end of auto-generated comment: release notes by coderabbit.ai -->	2025-04-01 14:44:27 -07:00
Lance Release	a997fd4108	Updating package-lock.json	2025-04-01 17:28:57 +00:00
Lance Release	1486514ccc	Updating package-lock.json	2025-04-01 17:28:40 +00:00
Lance Release	a505bc3965	Bump version: 0.19.0-beta.1 → 0.19.0-beta.2	2025-04-01 17:28:21 +00:00
Lance Release	c1738250a3	Bump version: 0.22.0-beta.1 → 0.22.0-beta.2	2025-04-01 17:27:57 +00:00
Weston Pace	1ee63984f5	feat: allow FSB to be used for btree indices (#2297 ) We recently allowed this for lance but there was a check in lancedb as well that was preventing it <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - New Features - Added support for indexing fixed-size binary data using B-tree structures for efficient data storage and retrieval. - Tests - Implemented automated tests to ensure the new binary indexing works correctly and meets the expected configuration. <!-- end of auto-generated comment: release notes by coderabbit.ai -->	2025-04-01 10:27:22 -07:00
Lance Release	2eb2c8862a	Updating package-lock.json	2025-04-01 14:27:26 +00:00
Lance Release	4ea8e178d3	Updating package-lock.json	2025-04-01 14:27:07 +00:00
Lance Release	e4485a630e	Bump version: 0.19.0-beta.0 → 0.19.0-beta.1	2025-04-01 14:26:47 +00:00
Lance Release	fb95f9b3bd	Bump version: 0.22.0-beta.0 → 0.22.0-beta.1	2025-04-01 14:26:28 +00:00
Weston Pace	625bab3f21	feat: update to lance 0.25.3b1 (#2294 ) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - Chores - Updated dependency versions for improved performance and compatibility. - New Features - Added support for structured full-text search with expanded query types (e.g., match, phrase, boost, multi-match) and flexible input formats. - Introduced a new method to check server support for structural full-text search features. - Enhanced the query system with new classes and interfaces for handling various full-text queries. - Expanded the functionality of existing methods to accept more complex query structures, including updates to method signatures. - Bug Fixes - Improved error handling and reporting for full-text search queries. - Refactor - Enhanced query processing with streamlined input handling and improved error reporting, ensuring more robust and consistent search results across platforms. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: BubbleCal <bubble-cal@outlook.com> Co-authored-by: BubbleCal <bubble-cal@outlook.com>	2025-04-01 06:36:42 -07:00
Will Jones	e59f9382a0	ci: deprecate vectordb each release (#2292 ) I released each time we published, the new package was no longer deprecated. This re-deprecated the package after a new publish.	2025-03-31 12:03:04 -07:00
Lance Release	fdee7ba477	Updating package-lock.json	2025-03-30 19:09:17 +00:00
Lance Release	c44fa3abc4	Updating package-lock.json	2025-03-30 18:05:07 +00:00
Lance Release	fc43aac0ed	Updating package-lock.json	2025-03-30 18:04:51 +00:00
Lance Release	e67cd0baf9	Bump version: 0.18.3-beta.0 → 0.19.0-beta.0	2025-03-30 18:04:32 +00:00
Lance Release	26dab93f2a	Bump version: 0.21.3-beta.0 → 0.22.0-beta.0	2025-03-30 18:04:14 +00:00
LuQQiu	b9bdb8d937	fix: fix remote restore api to always checkout latest version (#2291 ) Fix restore to always checkout latest version, following local restore api implementation `a1d1833a40/rust/lancedb/src/table.rs (L1910)` Otherwise table.create_table -> version 1 table.add_table -> version 2 table.checkout(1), table.restore() -> the version remains at 1 (should checkout_latest inside restore method to update version to latest version and allow write operation) table.checkout_latest() -> version is 3 can do write operations	2025-03-29 22:46:57 -07:00
LuQQiu	a1d1833a40	feat: add analyze_plan api (#2280 ) add analyze plan api to allow executing the queries and see runtime metrics. Which help identify the query IO overhead and help identify query slowness	2025-03-28 14:28:52 -07:00
Will Jones	a547c523c2	feat!: change default read_consistency_interval=5s (#2281 ) Previously, when we loaded the next version of the table, we would block all reads with a write lock. Now, we only do that if `read_consistency_interval=0`. Otherwise, we load the next version asynchronously in the background. This should mean that `read_consistency_interval > 0` won't have a meaningful impact on latency. Along with this change, I felt it was safe to change the default consistency interval to 5 seconds. The current default is `None`, which means we will never check for a new version by default. I think that default is contrary to most users expectations.	2025-03-28 11:04:31 -07:00
Lance Release	dc8b75feab	Updating package-lock.json	2025-03-28 17:15:17 +00:00
Lance Release	c1600cdc06	Updating package-lock.json	2025-03-28 16:04:01 +00:00
Lance Release	f5dee46970	Updating package-lock.json	2025-03-28 16:03:46 +00:00
Lance Release	346cbf8bf7	Bump version: 0.18.2-beta.0 → 0.18.3-beta.0	2025-03-28 16:03:31 +00:00