fix

Update docs/src/guides/mcp.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
2025-12-24 05:49:57 +00:00 · 2025-04-23 18:36:46 +05:30 · 2025-04-21 22:51:48 +05:30 · 2025-04-09 11:46:44 +05:30 · 2025-04-07 20:26:46 +05:30
73 changed files with 1052 additions and 880 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.19.0-beta.6"
+current_version = "0.19.0-beta.5"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -158,9 +158,9 @@ dependencies = [

 [[package]]
 name = "array-init-cursor"
-version = "0.2.1"
+version = "0.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ed51fe0f224d1d4ea768be38c51f9f831dee9d05c163c11fba0b8c44387b1fc3"
+checksum = "bf7d0a018de4f6aa429b9d33d69edf69072b1c5b1cb8d3e4a5f7ef898fc3eb76"

 [[package]]
 name = "arrayref"
@@ -229,9 +229,9 @@ dependencies = [

 [[package]]
 name = "arrow-buffer"
-version = "54.3.1"
+version = "54.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "263f4801ff1839ef53ebd06f99a56cecd1dbaf314ec893d93168e2e860e0291c"
+checksum = "bc6ed265c73f134a583d02c3cab5e16afab9446d8048ede8707e31f85fad58a0"
 dependencies = [
 "bytes",
 "half",
@@ -277,9 +277,9 @@ dependencies = [

 [[package]]
 name = "arrow-data"
-version = "54.3.1"
+version = "54.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "61cfdd7d99b4ff618f167e548b2411e5dd2c98c0ddebedd7df433d34c20a4429"
+checksum = "5f2cebf504bb6a92a134a87fff98f01b14fbb3a93ecf7aef90cd0f888c5fffa4"
 dependencies = [
 "arrow-buffer",
 "arrow-schema",
@@ -315,7 +315,7 @@ dependencies = [
 "arrow-schema",
 "chrono",
 "half",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "lexical-core",
 "num",
 "serde",
@@ -350,9 +350,9 @@ dependencies = [

 [[package]]
 name = "arrow-schema"
-version = "54.3.1"
+version = "54.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "39cfaf5e440be44db5413b75b72c2a87c1f8f0627117d110264048f2969b99e9"
+checksum = "a5c53775bba63f319189f366d2b86e9a8889373eb198f07d8544938fc9f8ed9a"
 dependencies = [
 "bitflags 2.9.0",
 ]
@@ -554,9 +554,9 @@ dependencies = [

 [[package]]
 name = "aws-lc-rs"
-version = "1.13.0"
+version = "1.12.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "19b756939cb2f8dc900aa6dcd505e6e2428e9cae7ff7b028c49e3946efa70878"
+checksum = "dabb68eb3a7aa08b46fddfd59a3d55c978243557a90ab804769f7e20e67d2b01"
 dependencies = [
 "aws-lc-sys",
 "zeroize",
@@ -564,9 +564,9 @@ dependencies = [

 [[package]]
 name = "aws-lc-sys"
-version = "0.28.0"
+version = "0.27.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b9f7720b74ed28ca77f90769a71fd8c637a0137f6fae4ae947e1050229cff57f"
+checksum = "77926887776171ced7d662120a75998e444d3750c951abfe07f90da130514b1f"
 dependencies = [
 "bindgen",
 "cc",
@@ -603,13 +603,12 @@ dependencies = [

 [[package]]
 name = "aws-sdk-bedrockruntime"
-version = "1.82.0"
+version = "1.78.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8cb95f77abd4321348dd2f52a25e1de199732f54d2a35860ad20f5df21c66b44"
+checksum = "6457fd617f20075dd2d5c9f6c3cb09815e6b83ab61c55499055499da9e04478d"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
- "aws-sigv4",
 "aws-smithy-async",
 "aws-smithy-eventstream",
 "aws-smithy-http",
@@ -621,7 +620,6 @@ dependencies = [
 "bytes",
 "fastrand",
 "http 0.2.12",
- "hyper 0.14.32",
 "once_cell",
 "regex-lite",
 "tracing",
@@ -629,9 +627,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-dynamodb"
-version = "1.71.2"
+version = "1.70.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2d49d08b1c99ca9a7de728a8975504857f2c24581a177f952e2a10244c305a1c"
+checksum = "4ac281113af7f8700394bf25eb272b842b7ca088810e96c928f812282f2e6f44"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -652,9 +650,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-kms"
-version = "1.65.0"
+version = "1.64.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f5325c5e2badf4148e850017cc56cc205888c6e0b52c9e29d3501ec577005230"
+checksum = "c23289881f4071421bbef3688ca43501c4fede796e0cbca942a54f0eb6906fbc"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -675,9 +673,9 @@ dependencies = [

 [[package]]
 name = "aws-sdk-s3"
-version = "1.82.0"
+version = "1.80.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e6eab2900764411ab01c8e91a76fd11a63b4e12bc3da97d9e14a0ce1343d86d3"
+checksum = "3a36b09e8273d89c4f35ea122b83b30e48f906f3b644460d72a7d3656d1be93d"
 dependencies = [
 "aws-credential-types",
 "aws-runtime",
@@ -893,7 +891,7 @@ dependencies = [
 "hyper-util",
 "pin-project-lite",
 "rustls 0.21.12",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "rustls-native-certs 0.8.1",
 "rustls-pki-types",
 "tokio",
@@ -1092,9 +1090,9 @@ checksum = "89e25b6adfb930f02d1981565a6e5d9c547ac15a96606256d3b59040e5cd4ca3"

 [[package]]
 name = "bigdecimal"
-version = "0.4.8"
+version = "0.4.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1a22f228ab7a1b23027ccc6c350b72868017af7ea8356fbdf19f8d991c690013"
+checksum = "7f31f3af01c5c65a07985c804d3366560e6fa7883d640a122819b14ec327482c"
 dependencies = [
 "autocfg",
 "libm",
@@ -1185,9 +1183,9 @@ dependencies = [

 [[package]]
 name = "blake3"
-version = "1.8.1"
+version = "1.7.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "389a099b34312839e16420d499a9cad9650541715937ffbdd40d36f49e77eeb3"
+checksum = "b17679a8d69b6d7fd9cd9801a536cec9fa5e5970b69f9d4747f70b39b031f5e7"
 dependencies = [
 "arrayref",
 "arrayvec",
@@ -1331,9 +1329,9 @@ dependencies = [

 [[package]]
 name = "cc"
-version = "1.2.19"
+version = "1.2.17"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8e3a13707ac958681c13b39b458c073d0d9bc8a22cb1b2f4c8e55eb72c13f362"
+checksum = "1fcb57c740ae1daf453ae85f16e37396f672b039e00d9d866e07ddb24e328e3a"
 dependencies = [
 "jobserver",
 "libc",
@@ -1629,9 +1627,9 @@ dependencies = [

 [[package]]
 name = "crossbeam-channel"
-version = "0.5.15"
+version = "0.5.14"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "82b8f8f868b36967f9606790d1903570de9ceaf870a7bf9fbbd3016d636a2cb2"
+checksum = "06ba6d68e24814cb8de6bb986db8222d3a027d15872cabc0d18817bc3c0e4471"
 dependencies = [
 "crossbeam-utils",
 ]
@@ -1769,9 +1767,9 @@ checksum = "ef8ae57c4978a2acd8b869ce6b9ca1dfe817bff704c220209fdef2c0b75a01b9"

 [[package]]
 name = "darling"
-version = "0.20.11"
+version = "0.20.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fc7f46116c46ff9ab3eb1597a45688b6715c6e628b5c133e288e709a29bcb4ee"
+checksum = "6f63b86c8a8826a49b8c21f08a2d07338eec8d900540f8630dc76284be802989"
 dependencies = [
 "darling_core",
 "darling_macro",
@@ -1779,9 +1777,9 @@ dependencies = [

 [[package]]
 name = "darling_core"
-version = "0.20.11"
+version = "0.20.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0d00b9596d185e565c2207a0b01f8bd1a135483d02d9b7b0a54b11da8d53412e"
+checksum = "95133861a8032aaea082871032f5815eb9e98cef03fa916ab4500513994df9e5"
 dependencies = [
 "fnv",
 "ident_case",
@@ -1793,9 +1791,9 @@ dependencies = [

 [[package]]
 name = "darling_macro"
-version = "0.20.11"
+version = "0.20.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fc34b93ccb385b40dc71c6fceac4b2ad23662c7eeb248cf10d529b7e055b6ead"
+checksum = "d336a2a514f6ccccaa3e09b02d41d35330c07ddf03a62165fcec10bb561c7806"
 dependencies = [
 "darling_core",
 "quote",
@@ -1916,7 +1914,7 @@ dependencies = [
 "base64 0.22.1",
 "half",
 "hashbrown 0.14.5",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "libc",
 "log",
 "object_store",
@@ -2003,7 +2001,7 @@ dependencies = [
 "datafusion-functions-aggregate-common",
 "datafusion-functions-window-common",
 "datafusion-physical-expr-common",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "paste",
 "serde_json",
 "sqlparser 0.54.0",
@@ -2017,7 +2015,7 @@ checksum = "18f0a851a436c5a2139189eb4617a54e6a9ccb9edc96c4b3c83b3bb7c58b950e"
 dependencies = [
 "arrow",
 "datafusion-common",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "itertools 0.14.0",
 "paste",
 ]
@@ -2171,7 +2169,7 @@ dependencies = [
 "datafusion-common",
 "datafusion-expr",
 "datafusion-physical-expr",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "itertools 0.14.0",
 "log",
 "regex",
@@ -2193,7 +2191,7 @@ dependencies = [
 "datafusion-physical-expr-common",
 "half",
 "hashbrown 0.14.5",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "itertools 0.14.0",
 "log",
 "paste",
@@ -2254,7 +2252,7 @@ dependencies = [
 "futures",
 "half",
 "hashbrown 0.14.5",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "itertools 0.14.0",
 "log",
 "parking_lot",
@@ -2272,7 +2270,7 @@ dependencies = [
 "bigdecimal",
 "datafusion-common",
 "datafusion-expr",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "log",
 "regex",
 "sqlparser 0.54.0",
@@ -2310,9 +2308,9 @@ dependencies = [

 [[package]]
 name = "deranged"
-version = "0.4.0"
+version = "0.4.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9c9e6a11ca8224451684bc0d7d5a7adbf8f2fd6887261a1cfc3c0432f9d4068e"
+checksum = "28cfac68e08048ae1883171632c2aef3ebc555621ae56fbccce1cbf22dd7f058"
 dependencies = [
 "powerfmt",
 "serde",
@@ -2520,9 +2518,9 @@ dependencies = [

 [[package]]
 name = "env_logger"
-version = "0.11.8"
+version = "0.11.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "13c863f0904021b108aa8b2f55046443e6b1ebde8fd4a15c399893aae4fa069f"
+checksum = "c3716d7a920fb4fac5d84e9d4bce8ceb321e9414b4409da61b07b75c1e3d0697"
 dependencies = [
 "anstream",
 "anstyle",
@@ -2539,9 +2537,9 @@ checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f"

 [[package]]
 name = "errno"
-version = "0.3.11"
+version = "0.3.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "976dd42dc7e85965fe702eb8164f21f450704bdde31faefd6471dba214cb594e"
+checksum = "33d852cb9b869c2a9b3df2f71a3074817f01e1844f839a144f5fcef059a4eb5d"
 dependencies = [
 "libc",
 "windows-sys 0.59.0",
@@ -2668,9 +2666,9 @@ dependencies = [

 [[package]]
 name = "flate2"
-version = "1.1.1"
+version = "1.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7ced92e76e966ca2fd84c8f7aa01a4aea65b0eb6648d72f7c8f3e2764a67fece"
+checksum = "11faaf5a5236997af9848be0bef4db95824b1d534ebc64d0f0c6cf3e67bd38dc"
 dependencies = [
 "crc32fast",
 "miniz_oxide",
@@ -2722,7 +2720,7 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
 [[package]]
 name = "fsst"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "rand 0.8.5",
 ]
@@ -3040,7 +3038,7 @@ dependencies = [
 "futures-sink",
 "futures-util",
 "http 0.2.12",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "slab",
 "tokio",
 "tokio-util",
@@ -3059,7 +3057,7 @@ dependencies = [
 "futures-core",
 "futures-sink",
 "http 1.3.1",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "slab",
 "tokio",
 "tokio-util",
@@ -3323,7 +3321,7 @@ dependencies = [
 "http 1.3.1",
 "hyper 1.6.0",
 "hyper-util",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "rustls-native-certs 0.8.1",
 "rustls-pki-types",
 "tokio",
@@ -3334,9 +3332,9 @@ dependencies = [

 [[package]]
 name = "hyper-util"
-version = "0.1.11"
+version = "0.1.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "497bbc33a26fdd4af9ed9c70d63f61cf56a938375fbb32df34db9b1cd6d643f2"
+checksum = "df2dcfbe0677734ab2f3ffa7fa7bfd4706bfdc1ef393f2ee30184aed67e631b4"
 dependencies = [
 "bytes",
 "futures-channel",
@@ -3344,7 +3342,6 @@ dependencies = [
 "http 1.3.1",
 "http-body 1.0.1",
 "hyper 1.6.0",
- "libc",
 "pin-project-lite",
 "socket2",
 "tokio",
@@ -3363,9 +3360,9 @@ dependencies = [

 [[package]]
 name = "iana-time-zone"
-version = "0.1.63"
+version = "0.1.62"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b0c919e5debc312ad217002b8048a17b7d83f80703865bbfcfebb0458b0b27d8"
+checksum = "b2fd658b06e56721792c5df4475705b6cda790e9298d19d2f8af083457bcd127"
 dependencies = [
 "android_system_properties",
 "core-foundation-sys",
@@ -3373,7 +3370,7 @@ dependencies = [
 "js-sys",
 "log",
 "wasm-bindgen",
- "windows-core 0.61.0",
+ "windows-core 0.52.0",
 ]

 [[package]]
@@ -3543,9 +3540,9 @@ dependencies = [

 [[package]]
 name = "indexmap"
-version = "2.9.0"
+version = "2.8.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cea70ddb795996207ad57735b50c5982d8844f38ba9ee5f1aedcfb708a2aa11e"
+checksum = "3954d50fe15b02142bf25d3b8bdadb634ec3948f103d04ffe3031bc8fe9d7058"
 dependencies = [
 "equivalent",
 "hashbrown 0.15.2",
@@ -3645,9 +3642,9 @@ checksum = "9028f49264629065d057f340a86acb84867925865f73bbf8d47b4d149a7e88b8"

 [[package]]
 name = "jiff"
-version = "0.2.6"
+version = "0.2.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1f33145a5cbea837164362c7bd596106eb7c5198f97d1ba6f6ebb3223952e488"
+checksum = "c102670231191d07d37a35af3eb77f1f0dbf7a71be51a962dcd57ea607be7260"
 dependencies = [
 "jiff-static",
 "log",
@@ -3658,9 +3655,9 @@ dependencies = [

 [[package]]
 name = "jiff-static"
-version = "0.2.6"
+version = "0.2.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "43ce13c40ec6956157a3635d97a1ee2df323b263f09ea14165131289cb0f5c19"
+checksum = "4cdde31a9d349f1b1f51a0b3714a5940ac022976f4b49485fc04be052b183b4c"
 dependencies = [
 "proc-macro2",
 "quote",
@@ -3691,11 +3688,10 @@ checksum = "8eaf4bc02d17cbdd7ff4c7438cafcdf7fb9a4613313ad11b4f8fefe7d3fa0130"

 [[package]]
 name = "jobserver"
-version = "0.1.33"
+version = "0.1.32"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "38f262f097c174adebe41eb73d66ae9c06b2844fb0da69969647bbddd9b0538a"
+checksum = "48d1dbcbbeb6a7fec7e059840aa538bd62aaccf972c7346c4d9d2059312853d0"
 dependencies = [
- "getrandom 0.3.2",
 "libc",
 ]

@@ -3712,7 +3708,7 @@ dependencies = [
 [[package]]
 name = "lance"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -3772,7 +3768,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -3790,7 +3786,7 @@ dependencies = [
 [[package]]
 name = "lance-core"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -3827,7 +3823,7 @@ dependencies = [
 [[package]]
 name = "lance-datafusion"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -3855,7 +3851,7 @@ dependencies = [
 [[package]]
 name = "lance-datagen"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -3871,7 +3867,7 @@ dependencies = [
 [[package]]
 name = "lance-encoding"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrayref",
 "arrow",
@@ -3911,7 +3907,7 @@ dependencies = [
 [[package]]
 name = "lance-file"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -3946,7 +3942,7 @@ dependencies = [
 [[package]]
 name = "lance-index"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4000,7 +3996,7 @@ dependencies = [
 [[package]]
 name = "lance-io"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -4039,7 +4035,7 @@ dependencies = [
 [[package]]
 name = "lance-linalg"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow-array",
 "arrow-ord",
@@ -4063,7 +4059,7 @@ dependencies = [
 [[package]]
 name = "lance-table"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4103,7 +4099,7 @@ dependencies = [
 [[package]]
 name = "lance-testing"
 version = "0.25.3"
-source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.4#236c8f986ab9e2d478d0754fab6e8d2643c31247"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.2#e0d3179bcc6e6ce5f9c5fcfeb4398789a7005467"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -4114,7 +4110,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.19.0-beta.6"
+version = "0.19.0-beta.4"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4201,7 +4197,7 @@ dependencies = [

 [[package]]
 name = "lancedb-node"
-version = "0.19.0-beta.6"
+version = "0.19.0-beta.4"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4226,7 +4222,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.19.0-beta.6"
+version = "0.19.0-beta.4"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4244,7 +4240,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.22.0-beta.6"
+version = "0.22.0-beta.4"
 dependencies = [
 "arrow",
 "env_logger",
@@ -4389,9 +4385,9 @@ checksum = "d26c52dbd32dccf2d10cac7725f8eae5296885fb5703b261f7d0a0739ec807ab"

 [[package]]
 name = "linux-raw-sys"
-version = "0.9.4"
+version = "0.9.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cd945864f07fe9f5371a27ad7b52a172b4b499999f1d97574c9fa68373937e12"
+checksum = "fe7db12097d22ec582439daf8618b8fdd1a7bef6270e9af3b1ebcd30893cf413"

 [[package]]
 name = "litemap"
@@ -4579,9 +4575,9 @@ checksum = "68354c5c6bd36d73ff3feceb05efa59b6acb7626617f4962be322a825e61f79a"

 [[package]]
 name = "miniz_oxide"
-version = "0.8.8"
+version = "0.8.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3be647b768db090acb35d5ec5db2b0e1f1de11133ca123b9eacf5137868f892a"
+checksum = "8e3e04debbb59698c15bacbb6d93584a8c0ca9cc3213cb423d31f760d8843ce5"
 dependencies = [
 "adler2",
 ]
@@ -5138,7 +5134,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "3672b37090dbd86368a4145bc067582552b29c27377cad4e0a306c97f9bd7772"
 dependencies = [
 "fixedbitset",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 ]

 [[package]]
@@ -5331,7 +5327,7 @@ dependencies = [
 "comfy-table",
 "either",
 "hashbrown 0.14.5",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "num-traits",
 "once_cell",
 "polars-arrow",
@@ -5429,7 +5425,7 @@ dependencies = [
 "either",
 "hashbrown 0.14.5",
 "hex",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "memchr",
 "num-traits",
 "polars-arrow",
@@ -5573,7 +5569,7 @@ dependencies = [
 "ahash",
 "bytemuck",
 "hashbrown 0.14.5",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "num-traits",
 "once_cell",
 "polars-error",
@@ -5617,9 +5613,9 @@ dependencies = [

 [[package]]
 name = "prettyplease"
-version = "0.2.32"
+version = "0.2.31"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "664ec5419c51e34154eec046ebcba56312d5a2fc3b09a06da188e1ad21afadf6"
+checksum = "5316f57387668042f561aae71480de936257848f9c43ce528e311d89a07cadeb"
 dependencies = [
 "proc-macro2",
 "syn 2.0.100",
@@ -5806,9 +5802,9 @@ dependencies = [

 [[package]]
 name = "quick-xml"
-version = "0.37.4"
+version = "0.37.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a4ce8c88de324ff838700f36fb6ab86c96df0e3c4ab6ef3a9b2044465cce1369"
+checksum = "bf763ab1c7a3aa408be466efc86efe35ed1bd3dd74173ed39d6b0d0a6f0ba148"
 dependencies = [
 "memchr",
 "serde",
@@ -5826,7 +5822,7 @@ dependencies = [
 "quinn-proto",
 "quinn-udp",
 "rustc-hash 2.1.1",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "socket2",
 "thiserror 2.0.12",
 "tokio",
@@ -5845,7 +5841,7 @@ dependencies = [
 "rand 0.9.0",
 "ring",
 "rustc-hash 2.1.1",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "rustls-pki-types",
 "slab",
 "thiserror 2.0.12",
@@ -6065,9 +6061,9 @@ dependencies = [

 [[package]]
 name = "redox_syscall"
-version = "0.5.11"
+version = "0.5.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d2f103c6d277498fbceb16e84d317e2a400f160f46904d5f5410848c829511a3"
+checksum = "0b8c0c260b63a8219631167be35e6a988e9554dbd323f8bd08439c8ed1302bd1"
 dependencies = [
 "bitflags 2.9.0",
 ]
@@ -6167,7 +6163,7 @@ dependencies = [
 "percent-encoding",
 "pin-project-lite",
 "quinn",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "rustls-native-certs 0.8.1",
 "rustls-pemfile 2.2.0",
 "rustls-pki-types",
@@ -6233,9 +6229,9 @@ dependencies = [

 [[package]]
 name = "roaring"
-version = "0.10.12"
+version = "0.10.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "19e8d2cfa184d94d0726d650a9f4a1be7f9b76ac9fdb954219878dc00c1c1e7b"
+checksum = "a652edd001c53df0b3f96a36a8dc93fce6866988efc16808235653c6bcac8bf2"
 dependencies = [
 "bytemuck",
 "byteorder",
@@ -6323,14 +6319,14 @@ dependencies = [

 [[package]]
 name = "rustix"
-version = "1.0.5"
+version = "1.0.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d97817398dd4bb2e6da002002db259209759911da105da92bec29ccb12cf58bf"
+checksum = "e56a18552996ac8d29ecc3b190b4fdbb2d91ca4ec396de7bbffaf43f3d637e96"
 dependencies = [
 "bitflags 2.9.0",
 "errno",
 "libc",
- "linux-raw-sys 0.9.4",
+ "linux-raw-sys 0.9.3",
 "windows-sys 0.59.0",
 ]

@@ -6348,9 +6344,9 @@ dependencies = [

 [[package]]
 name = "rustls"
-version = "0.23.26"
+version = "0.23.25"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "df51b5869f3a441595eac5e8ff14d486ff285f7b8c0df8770e49c3b56351f0f0"
+checksum = "822ee9188ac4ec04a2f0531e55d035fb2de73f18b41a63c70c2712503b6fb13c"
 dependencies = [
 "aws-lc-rs",
 "log",
@@ -6647,7 +6643,7 @@ dependencies = [
 "chrono",
 "hex",
 "indexmap 1.9.3",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "serde",
 "serde_derive",
 "serde_json",
@@ -6764,9 +6760,9 @@ dependencies = [

 [[package]]
 name = "smallvec"
-version = "1.15.0"
+version = "1.14.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8917285742e9f3e1683f0a9c4e6b57960b7314d0b08d30d1ecd426713ee2eee9"
+checksum = "7fcf8323ef1faaee30a44a340193b1ac6814fd9b7b4e88e9d4519a3e4abe1cfd"

 [[package]]
 name = "smartstring"
@@ -6802,9 +6798,9 @@ dependencies = [

 [[package]]
 name = "socket2"
-version = "0.5.9"
+version = "0.5.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4f5fd57c80058a56cf5c777ab8a126398ece8e442983605d280a44ce79d0edef"
+checksum = "c970269d99b64e60ec3bd6ad27270092a5394c4e309314b18ae3fe575695fbe8"
 dependencies = [
 "libc",
 "windows-sys 0.52.0",
@@ -7233,7 +7229,7 @@ dependencies = [
 "fastrand",
 "getrandom 0.3.2",
 "once_cell",
- "rustix 1.0.5",
+ "rustix 1.0.3",
 "windows-sys 0.59.0",
 ]

@@ -7386,9 +7382,9 @@ dependencies = [

 [[package]]
 name = "tokio"
-version = "1.44.2"
+version = "1.44.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e6b88822cbe49de4185e3a4cbf8321dd487cf5fe0c5c65695fef6346371e9c48"
+checksum = "f382da615b842244d4b8738c82ed1275e6c5dd90c459a30941cd07080b06c91a"
 dependencies = [
 "backtrace",
 "bytes",
@@ -7428,7 +7424,7 @@ version = "0.26.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "8e727b36a1a0e8b74c376ac2211e40c2c8af09fb4013c60d910495810f008e9b"
 dependencies = [
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "tokio",
 ]

@@ -7468,7 +7464,7 @@ version = "0.22.24"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "17b4795ff5edd201c7cd6dca065ae59972ce77d1b80fa0a84d94950ece7d1474"
 dependencies = [
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "toml_datetime",
 "winnow",
 ]
@@ -7653,7 +7649,7 @@ dependencies = [
 "flate2",
 "log",
 "once_cell",
- "rustls 0.23.26",
+ "rustls 0.23.25",
 "rustls-pki-types",
 "serde",
 "serde_json",
@@ -7958,26 +7954,13 @@ version = "0.58.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "6ba6d44ec8c2591c134257ce647b7ea6b20335bf6379a27dac5f1641fcf59f99"
 dependencies = [
- "windows-implement 0.58.0",
- "windows-interface 0.58.0",
+ "windows-implement",
+ "windows-interface",
 "windows-result 0.2.0",
 "windows-strings 0.1.0",
 "windows-targets 0.52.6",
 ]

-[[package]]
-name = "windows-core"
-version = "0.61.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4763c1de310c86d75a878046489e2e5ba02c649d185f21c67d4cf8a56d098980"
-dependencies = [
- "windows-implement 0.60.0",
- "windows-interface 0.59.1",
- "windows-link",
- "windows-result 0.3.2",
- "windows-strings 0.4.0",
-]
-
 [[package]]
 name = "windows-implement"
 version = "0.58.0"
@@ -7989,17 +7972,6 @@ dependencies = [
 "syn 2.0.100",
 ]

-[[package]]
-name = "windows-implement"
-version = "0.60.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a47fddd13af08290e67f4acabf4b459f647552718f683a7b415d290ac744a836"
-dependencies = [
- "proc-macro2",
- "quote",
- "syn 2.0.100",
-]
-
 [[package]]
 name = "windows-interface"
 version = "0.58.0"
@@ -8011,17 +7983,6 @@ dependencies = [
 "syn 2.0.100",
 ]

-[[package]]
-name = "windows-interface"
-version = "0.59.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bd9211b69f8dcdfa817bfd14bf1c97c9188afa36f4750130fcdf3f400eca9fa8"
-dependencies = [
- "proc-macro2",
- "quote",
- "syn 2.0.100",
-]
-
 [[package]]
 name = "windows-link"
 version = "0.1.1"
@@ -8076,15 +8037,6 @@ dependencies = [
 "windows-link",
 ]

-[[package]]
-name = "windows-strings"
-version = "0.4.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7a2ba9642430ee452d5a7aa78d72907ebe8cfda358e8cb7918a2050581322f97"
-dependencies = [
- "windows-link",
-]
-
 [[package]]
 name = "windows-sys"
 version = "0.45.0"
@@ -8365,9 +8317,9 @@ checksum = "271414315aff87387382ec3d271b52d7ae78726f5d44ac98b4f4030c91880486"

 [[package]]
 name = "winnow"
-version = "0.7.6"
+version = "0.7.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "63d3fcd9bba44b03821e7d699eeee959f3126dcc4aa8e4ae18ec617c2a5cea10"
+checksum = "0e97b544156e9bebe1a0ffbc03484fc1ffe3100cbce3ffb17eac35f7cdd7ab36"
 dependencies = [
 "memchr",
 ]
@@ -8537,7 +8489,7 @@ dependencies = [
 "crc32fast",
 "crossbeam-utils",
 "displaydoc",
- "indexmap 2.9.0",
+ "indexmap 2.8.0",
 "num_enum",
 "thiserror 1.0.69",
 ]
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -23,14 +23,14 @@ rust-version = "1.78.0"
 [workspace.dependencies]
 lance = { "version" = "=0.25.3", "features" = [
    "dynamodb",
-], tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-io = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-index = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-linalg = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-table = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-testing = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-datafusion = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
-lance-encoding = { version = "=0.25.3", tag = "v0.25.3-beta.4", git = "https://github.com/lancedb/lance" }
+], tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-io = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-index = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-linalg = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-table = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-testing = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-datafusion = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
+lance-encoding = { version = "=0.25.3", tag = "v0.25.3-beta.2", git = "https://github.com/lancedb/lance" }
 # Note that this one does not include pyarrow
 arrow = { version = "54.1", optional = false }
 arrow-array = "54.1"
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -162,6 +162,7 @@ nav:
              - Choosing right query type: guides/tuning_retrievers/1_query_types.md
              - Reranking: guides/tuning_retrievers/2_reranking.md
              - Embedding fine-tuning: guides/tuning_retrievers/3_embed_tuning.md
+          - Build MCP with LanceDB: guides/mcp.md
      - 🧬 Managing embeddings:
          - Understand Embeddings: embeddings/understanding_embeddings.md
          - Get Started: embeddings/index.md
@@ -293,6 +294,7 @@ nav:
          - Choosing right query type: guides/tuning_retrievers/1_query_types.md
          - Reranking: guides/tuning_retrievers/2_reranking.md
          - Embedding fine-tuning: guides/tuning_retrievers/3_embed_tuning.md
+      - Build MCP with LanceDB: guides/mcp.md
  - Managing Embeddings:
      - Understand Embeddings: embeddings/understanding_embeddings.md
      - Get Started: embeddings/index.md
--- a/docs/src/guides/mcp.md
+++ b/docs/src/guides/mcp.md
@@ -0,0 +1,126 @@
+# MCP server with LanceDB
+
+The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
+
+With LanceDB, your MCP can be embedded in your application. Let's implement 2 simple MCP tools using LanceDB
+1. Add data - add data to LanceDB
+2. Retreive data - retrieve data from LanceDB
+
+You need to install `mcp[cli]` python package.
+
+First, let's define some configs:
+```python
+# mcp_server.py
+
+LANCEDB_URI = "~/lancedb"
+TABLE_NAME =  "mcp_data"
+EMBEDDING_FUNCTION = "sentence-transformers"
+MODEL_NAME = "all-MiniLM-L6-v2" 
+```
+
+Then initialize the table that we'll use to store and retreive data:
+```python
+import lancedb
+from lancedb.pydantic import LanceModel, Vector
+from lancedb.embeddings import get_registry
+
+model = get_registry().get(EMBEDDING_FUNCTION).create(model_name=MODEL_NAME)
+
+class Schema(LanceModel):
+    text: str = model.SourceField()
+    vector: Vector(model.ndims()) = model.VectorField()
+
+db = lancedb.connect(LANCEDB_URI)
+if TABLE_NAME not in db.table_names():
+    db.create_table(TABLE_NAME, schema=Schema)
+```
+
+!!! Note "Using LanceDB cloud"
+    If you want to use LanceDB cloud, you'll need to set the uri to your remote table
+    instance and also provide a token. Every other functionality will remain the same
+
+## Defining the tools
+Tools let LLMs take actions through your server. There are other components like `resources` that allow you to expose certain data sources to LLMs. For our use case, we need to define tools that LLMs can call in order to inget or retrieve data
+We'll use `FastMCP` interface of the MCP package. The FastMCP server is your core interface to the MCP protocol. It handles connection management, protocol compliance, and message routing.
+
+```python
+from mcp.server.fastmcp import FastMCP
+
+mcp = FastMCP("lancedb-example")
+```
+### Add data ingestion tool
+This function takes a string as input and adds it to the LanceDB table.
+
+```python
+@mcp.tool()
+async def ingest_data(content: str) -> str:
+    """
+    Add a new memory to the vector database
+    Args:
+        content: Content of the memory
+    """
+    tbl = db[TABLE_NAME]
+    tbl.add([
+        {"text": content}
+        ])
+    return f"Added memory: {content}"
+```
+### Retreive data tool
+
+```python
+@mcp.tool()
+async def retrieve_data(query: str, limit: int = 5) -> str:
+    """
+    Search db using vector search
+    Args:
+        query: The search query
+        limit: Maximum number of results to return
+    """
+    tbl = db[TABLE_NAME]
+    rs = tbl.search(query).limit(limit).to_list()
+    data = [
+        r["text"] for r in rs
+    ]
+    if not data:
+        return "No relevant data found."
+
+    return "\n\n".join(data)
+```
+This function takes a string and limit as input and searches the LanceDB table for the most relevant memories.
+
+
+## Install it on Claude desktop
+
+To install this MCP, you can simply run this command and it'll be registered on you Claude desktop
+```
+mcp install mcp_server.py
+```
+You'll see logs similar to this:
+```
+[04/07/25 20:18:08] INFO     Load pretrained SentenceTransformer: BAAI/bge-small-en-v1.5       SentenceTransformer.py:218
+Batches: 100%|█████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  4.06it/s]
+[04/07/25 20:18:11] INFO     Added server 'lancedb' to Claude config                                        claude.py:129
+                    INFO     Successfully installed lancedb in Claude app                                      cli.py:467
+```
+
+Now simply fire up claude desktop and you can start using it.
+
+1. If installed correctly, you'll `lancedb` in the MCP apps list
+![Screenshot 2025-04-08 at 8 07 39 AM](https://github.com/user-attachments/assets/6dede8ae-7e39-4931-ae60-b57ce620b328)
+
+2. You can now use the `ingest_data` tool to add data to the table. To do that, you can simply ask claude using natural language
+![Screenshot 2025-04-08 at 8 10 37 AM](https://github.com/user-attachments/assets/0cd4df4e-98bb-4bf1-8566-1671eb310a1d)
+
+3. Now you can start asking questions using the `retrieve_data` tool. It'll automatically search the table for relevant data. You should see something like this
+![Screenshot 2025-04-08 at 8 11 49 AM](https://github.com/user-attachments/assets/71b5b232-601c-4864-9d52-9b84f16adad9)
+
+4. Claude tries to set the params for tool calling on its own but you can also specify the details.
+![Screenshot 2025-04-08 at 8 12 30 AM](https://github.com/user-attachments/assets/5f362bd1-b2fc-4145-8f1e-968d453bf615)
+
+
+## Community examples
+
+- Find a minimal LanceDB mcp server similar to this [here](https://github.com/kyryl-opens-ml/mcp-server-lancedb/blob/main/src/mcp_lance_db/server.py)
+
+- You can find an implementation of a more complex MCP server that uses LanceDB to implement an advanced CodeQA feature [here](https://github.com/lancedb/MCPExample).
+
--- 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
@@ -22,13 +22,10 @@ including methods to retrieve the query type and convert the query to a dictiona
 new BoostQuery(
   positive,
   negative,
-   options?): BoostQuery
+   negativeBoost): BoostQuery
 ```

 Creates an instance of BoostQuery.
-The boost returns documents that match the positive query,
-but penalizes those that match the negative query.
-the penalty is controlled by the `negativeBoost` parameter.

 #### Parameters

@@ -38,11 +35,8 @@ the penalty is controlled by the `negativeBoost` parameter.
 * **negative**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
    The negative query that reduces the relevance score.

-* **options?**
-    Optional parameters for the boost query.
-    - `negativeBoost`: The boost factor for the negative query (default is 0.0).
-
-* **options.negativeBoost?**: `number`
+* **negativeBoost**: `number`
+    The factor by which the negative query reduces the score.

 #### Returns

@@ -56,8 +50,6 @@ the penalty is controlled by the `negativeBoost` parameter.
 queryType(): FullTextQueryType
 ```

-The type of the full-text query.
-
 #### Returns

 [`FullTextQueryType`](../enumerations/FullTextQueryType.md)
@@ -65,3 +57,19 @@ The type of the full-text query.
 #### 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
@@ -22,7 +22,9 @@ including methods to retrieve the query type and convert the query to a dictiona
 new MatchQuery(
   query,
   column,
-   options?): MatchQuery
+   boost,
+   fuzziness,
+   maxExpansions): MatchQuery
 ```

 Creates an instance of MatchQuery.
@@ -35,17 +37,14 @@ Creates an instance of MatchQuery.
 * **column**: `string`
    The name of the column to search within.

-* **options?**
-    Optional parameters for the match query.
-    - `boost`: The boost factor for the query (default is 1.0).
-    - `fuzziness`: The fuzziness level for the query (default is 0).
-    - `maxExpansions`: The maximum number of terms to consider for fuzzy matching (default is 50).
+* **boost**: `number` = `1.0`
+    (Optional) The boost factor to influence the relevance score of this query. Default is `1.0`.

-* **options.boost?**: `number`
+* **fuzziness**: `number` = `0`
+    (Optional) The allowed edit distance for fuzzy matching. Default is `0`.

-* **options.fuzziness?**: `number`
-
-* **options.maxExpansions?**: `number`
+* **maxExpansions**: `number` = `50`
+    (Optional) The maximum number of terms to consider for fuzzy matching. Default is `50`.

 #### Returns

@@ -59,8 +58,6 @@ Creates an instance of MatchQuery.
 queryType(): FullTextQueryType
 ```

-The type of the full-text query.
-
 #### Returns

 [`FullTextQueryType`](../enumerations/FullTextQueryType.md)
@@ -68,3 +65,19 @@ The type of the full-text query.
 #### 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
@@ -22,7 +22,7 @@ including methods to retrieve the query type and convert the query to a dictiona
 new MultiMatchQuery(
   query,
   columns,
-   options?): MultiMatchQuery
+   boosts): MultiMatchQuery
 ```

 Creates an instance of MultiMatchQuery.
@@ -35,11 +35,10 @@ Creates an instance of MultiMatchQuery.
 * **columns**: `string`[]
    An array of column names to search within.

-* **options?**
-    Optional parameters for the multi-match query.
-    - `boosts`: An array of boost factors for each column (default is 1.0 for all).
-
-* **options.boosts?**: `number`[]
+* **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

@@ -53,8 +52,6 @@ Creates an instance of MultiMatchQuery.
 queryType(): FullTextQueryType
 ```

-The type of the full-text query.
-
 #### Returns

 [`FullTextQueryType`](../enumerations/FullTextQueryType.md)
@@ -62,3 +59,19 @@ The type of the full-text query.
 #### 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
@@ -44,8 +44,6 @@ Creates an instance of `PhraseQuery`.
 queryType(): FullTextQueryType
 ```

-The type of the full-text query.
-
 #### Returns

 [`FullTextQueryType`](../enumerations/FullTextQueryType.md)
@@ -53,3 +51,19 @@ The type of the full-text query.
 #### 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/Table.md
+++ b/docs/src/js/classes/Table.md
@@ -575,7 +575,7 @@ of the given query

 #### Parameters

-* **query**: `string` \| [`IntoVector`](../type-aliases/IntoVector.md) \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
+* **query**: `string` \| [`IntoVector`](../type-aliases/IntoVector.md)
    the query, a vector or string

 * **queryType?**: `string`
--- 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
@@ -18,8 +18,18 @@ including methods to retrieve the query type and convert the query to a dictiona
 queryType(): FullTextQueryType
 ```

-The type of the full-text query.
-
 #### 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

--- a/java/core/pom.xml
+++ b/java/core/pom.xml
@@ -8,7 +8,7 @@
    <parent>
        <groupId>com.lancedb</groupId>
        <artifactId>lancedb-parent</artifactId>
-        <version>0.19.0-beta.6</version>
+        <version>0.19.0-beta.5</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>0.19.0-beta.6</version>
+    <version>0.19.0-beta.5</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": "0.19.0-beta.6",
+  "version": "0.19.0-beta.5",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "vectordb",
-      "version": "0.19.0-beta.6",
+      "version": "0.19.0-beta.5",
      "cpu": [
        "x64",
        "arm64"
@@ -52,11 +52,11 @@
        "uuid": "^9.0.0"
      },
      "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.6",
-        "@lancedb/vectordb-darwin-x64": "0.19.0-beta.6",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.6",
-        "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.6",
-        "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.6"
+        "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.5",
+        "@lancedb/vectordb-darwin-x64": "0.19.0-beta.5",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.5",
+        "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.5",
+        "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.5"
      },
      "peerDependencies": {
        "@apache-arrow/ts": "^14.0.2",
@@ -327,9 +327,9 @@
      }
    },
    "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.19.0-beta.6",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.19.0-beta.6.tgz",
-      "integrity": "sha512-fujUe3Gt1n1vgxXMDaUatZEQICh9VAmj1CJK/gQCMZo9ky/MH1TnxP0nA6hN7fkRvl28C2Ms2adlTdlnTxLSlw==",
+      "version": "0.19.0-beta.5",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.19.0-beta.5.tgz",
+      "integrity": "sha512-NuJVGaV4b6XgH3dlkCEquvtGM1cY5sIJE5M/LgJ3HYYvAbco/seBQM5AHTV/7CULoPEY9eQeJZOj9fWP5oQLYQ==",
      "cpu": [
        "arm64"
      ],
@@ -340,9 +340,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.19.0-beta.6",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.19.0-beta.6.tgz",
-      "integrity": "sha512-ZKUvPwKvnK5WfyCR3Asbm1XXXA5JWYfDVD2ovPU/mv/rqoroYEpxm7TH1OG8AQ8bvBmrCmPc0sPJP5kijd6BFg==",
+      "version": "0.19.0-beta.5",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.19.0-beta.5.tgz",
+      "integrity": "sha512-hbadwvQcUgKJfluUHhN+mx+XeFRwTuh9mD0L3Tf3t3BkDTxyHpEG5WNgOpWrh6e1RU6zW54CoCyQuSEaVqGgGw==",
      "cpu": [
        "x64"
      ],
@@ -353,9 +353,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.19.0-beta.6",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.19.0-beta.6.tgz",
-      "integrity": "sha512-m4DuGCEhEAy+EtamSBMF1ujiVkpJD3ybF/Yp1pYYo9FTFThczAeRiyUg7diRZYfahZExKsATj62PqHXNVo8x9A==",
+      "version": "0.19.0-beta.5",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.19.0-beta.5.tgz",
+      "integrity": "sha512-fu/EOYLr3mx76/SP4dEgbq0vSYHfuTf68lVl5/tL6eIb1Purz42l22+jNKLJ/S3Plase2SkXdxyY90K2Y/CvSg==",
      "cpu": [
        "arm64"
      ],
@@ -366,9 +366,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.19.0-beta.6",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.19.0-beta.6.tgz",
-      "integrity": "sha512-npUR23GZJDVfkPUPtaxLuYUeqyAQ/vcp4R7RjCSdBo+hJNiQAG4TX31YAE8OKnOGskEO7XJ3BgEAxM+upiNmnA==",
+      "version": "0.19.0-beta.5",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.19.0-beta.5.tgz",
+      "integrity": "sha512-pzb8fl5M8155sc/mEFnKmuh9rCfQohHBlb+j+5qNMe84AyygQ8Me1H3b1h9fOkUPu2Y168zYfuGkjNv4Bjm9eA==",
      "cpu": [
        "x64"
      ],
@@ -379,9 +379,9 @@
      ]
    },
    "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.19.0-beta.6",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.19.0-beta.6.tgz",
-      "integrity": "sha512-Ebas+phT0D7NoB1e3lMZn5h7WVyT5pPIwO1Kk1cZ93V4zaxn2BQRwjLTLxJwR9G+emQoLv659Ze0NtnFuEbXaA==",
+      "version": "0.19.0-beta.5",
+      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.19.0-beta.5.tgz",
+      "integrity": "sha512-5z6BSfTuZYJdDL2wwRrEQlnfluahzaUH2U7vj3i4ik4zaAwvaYcrjmdYCTLRYhFscUqzxd2pVFHbfRYe+maYzA==",
      "cpu": [
        "x64"
      ],
--- a/node/package.json
+++ b/node/package.json
@@ -1,6 +1,6 @@
 {
  "name": "vectordb",
-  "version": "0.19.0-beta.6",
+  "version": "0.19.0-beta.5",
  "description": " Serverless, low-latency vector database for AI applications",
  "private": false,
  "main": "dist/index.js",
@@ -89,10 +89,10 @@
    }
  },
  "optionalDependencies": {
-    "@lancedb/vectordb-darwin-x64": "0.19.0-beta.6",
-    "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.6",
-    "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.6",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.6",
-    "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.6"
+    "@lancedb/vectordb-darwin-x64": "0.19.0-beta.5",
+    "@lancedb/vectordb-darwin-arm64": "0.19.0-beta.5",
+    "@lancedb/vectordb-linux-x64-gnu": "0.19.0-beta.5",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.19.0-beta.5",
+    "@lancedb/vectordb-win32-x64-msvc": "0.19.0-beta.5"
  }
 }
--- 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 = "0.19.0-beta.6"
+version = "0.19.0-beta.5"
 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
@@ -10,7 +10,7 @@ import * as arrow16 from "apache-arrow-16";
 import * as arrow17 from "apache-arrow-17";
 import * as arrow18 from "apache-arrow-18";

-import { MatchQuery, PhraseQuery, Table, connect } from "../lancedb";
+import { Table, connect } from "../lancedb";
 import {
  Table as ArrowTable,
  Field,
@@ -33,7 +33,6 @@ import {
  register,
 } from "../lancedb/embedding";
 import { Index } from "../lancedb/indices";
-import { instanceOfFullTextQuery } from "../lancedb/query";

 describe.each([arrow15, arrow16, arrow17, arrow18])(
  "Given a table",
@@ -59,7 +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)");
@@ -1303,34 +1302,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(

      const results = await table.search("hello").toArray();
      expect(results[0].text).toBe(data[0].text);
-
-      const query = new MatchQuery("goodbye", "text");
-      expect(instanceOfFullTextQuery(query)).toBe(true);
-      const results2 = await table
-        .search(new MatchQuery("goodbye", "text"))
-        .toArray();
-      expect(results2[0].text).toBe(data[1].text);
-    });
-
-    test("full text index on list", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: ["lance database", "the", "search"], vector: [0.1, 0.2, 0.3] },
-        { text: ["lance database"], vector: [0.4, 0.5, 0.6] },
-        { text: ["lance", "search"], vector: [0.7, 0.8, 0.9] },
-        { text: ["database", "search"], vector: [1.0, 1.1, 1.2] },
-        { text: ["unrelated", "doc"], vector: [1.3, 1.4, 1.5] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts(),
-      });
-
-      const results = await table.search("lance").toArray();
-      expect(results.length).toBe(3);
-
-      const results2 = await table.search('"lance database"').toArray();
-      expect(results2.length).toBe(2);
    });

    test("full text search without positions", async () => {
@@ -1383,43 +1354,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      expect(results.length).toBe(2);
      const phraseResults = await table.search('"hello world"').toArray();
      expect(phraseResults.length).toBe(1);
-      const phraseResults2 = await table
-        .search(new PhraseQuery("hello world", "text"))
-        .toArray();
-      expect(phraseResults2.length).toBe(1);
-    });
-
-    test("full text search fuzzy query", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [
-        { text: "fa", vector: [0.1, 0.2, 0.3] },
-        { text: "fo", vector: [0.4, 0.5, 0.6] },
-        { text: "fob", vector: [0.4, 0.5, 0.6] },
-        { text: "focus", vector: [0.4, 0.5, 0.6] },
-        { text: "foo", vector: [0.4, 0.5, 0.6] },
-        { text: "food", vector: [0.4, 0.5, 0.6] },
-        { text: "foul", vector: [0.4, 0.5, 0.6] },
-      ];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts(),
-      });
-
-      const results = await table
-        .search(new MatchQuery("foo", "text"))
-        .toArray();
-      expect(results.length).toBe(1);
-      expect(results[0].text).toBe("foo");
-
-      const fuzzyResults = await table
-        .search(new MatchQuery("foo", "text", { fuzziness: 1 }))
-        .toArray();
-      expect(fuzzyResults.length).toBe(4);
-      const resultSet = new Set(fuzzyResults.map((r) => r.text));
-      expect(resultSet.has("foo")).toBe(true);
-      expect(resultSet.has("fob")).toBe(true);
-      expect(resultSet.has("fo")).toBe(true);
-      expect(resultSet.has("food")).toBe(true);
    });

    test.each([
--- 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/query.ts
+++ b/nodejs/lancedb/query.ts
@@ -11,7 +11,6 @@ import {
 } from "./arrow";
 import { type IvfPqOptions } from "./indices";
 import {
-  JsFullTextQuery,
  RecordBatchIterator as NativeBatchIterator,
  Query as NativeQuery,
  Table as NativeTable,
@@ -178,7 +177,9 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
          columns: columns,
        });
      } else {
-        inner.fullTextSearch({ query: query.inner });
+        // If query is a FullTextQuery object, convert it to a dict
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
      }
    });
    return this;
@@ -742,7 +743,8 @@ export class Query extends QueryBase<NativeQuery> {
          columns: columns,
        });
      } else {
-        inner.fullTextSearch({ query: query.inner });
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
      }
    });
    return this;
@@ -770,141 +772,130 @@ export enum FullTextQueryType {
 * including methods to retrieve the query type and convert the query to a dictionary format.
 */
 export interface FullTextQuery {
-  /**
-   * Returns the inner query object.
-   * This is the underlying query object used by the database engine.
-   * @ignore
-   */
-  inner: JsFullTextQuery;
-
-  /**
-   * The type of the full-text query.
-   */
  queryType(): FullTextQueryType;
-}
-
-// biome-ignore lint/suspicious/noExplicitAny: we want any here
-export function instanceOfFullTextQuery(obj: any): obj is FullTextQuery {
-  return obj != null && obj.inner instanceof JsFullTextQuery;
+  toDict(): Record<string, unknown>;
 }

 export class MatchQuery implements FullTextQuery {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
  /**
   * Creates an instance of MatchQuery.
   *
   * @param query - The text query to search for.
   * @param column - The name of the column to search within.
-   * @param options - Optional parameters for the match query.
-   *   - `boost`: The boost factor for the query (default is 1.0).
-   *   - `fuzziness`: The fuzziness level for the query (default is 0).
-   *   - `maxExpansions`: The maximum number of terms to consider for fuzzy matching (default is 50).
+   * @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(
-    query: string,
-    column: string,
-    options?: {
-      boost?: number;
-      fuzziness?: number;
-      maxExpansions?: number;
-    },
-  ) {
-    let fuzziness = options?.fuzziness;
-    if (fuzziness === undefined) {
-      fuzziness = 0;
-    }
-    this.inner = JsFullTextQuery.matchQuery(
-      query,
-      column,
-      options?.boost ?? 1.0,
-      fuzziness,
-      options?.maxExpansions ?? 50,
-    );
-  }
+    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 {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
  /**
   * 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(query: string, column: string) {
-    this.inner = JsFullTextQuery.phraseQuery(query, column);
-  }
+  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 {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
  /**
   * Creates an instance of BoostQuery.
-   * The boost returns documents that match the positive query,
-   * but penalizes those that match the negative query.
-   * the penalty is controlled by the `negativeBoost` parameter.
   *
   * @param positive - The positive query that boosts the relevance score.
   * @param negative - The negative query that reduces the relevance score.
-   * @param options - Optional parameters for the boost query.
-   *  - `negativeBoost`: The boost factor for the negative query (default is 0.0).
+   * @param negativeBoost - The factor by which the negative query reduces the score.
   */
  constructor(
-    positive: FullTextQuery,
-    negative: FullTextQuery,
-    options?: {
-      negativeBoost?: number;
-    },
-  ) {
-    this.inner = JsFullTextQuery.boostQuery(
-      positive.inner,
-      negative.inner,
-      options?.negativeBoost,
-    );
-  }
+    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 {
-  /** @ignore */
-  public readonly inner: JsFullTextQuery;
  /**
   * 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 options - Optional parameters for the multi-match query.
-   *  - `boosts`: An array of boost factors for each column (default is 1.0 for all).
+   * @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(
-    query: string,
-    columns: string[],
-    options?: {
-      boosts?: number[];
-    },
-  ) {
-    this.inner = JsFullTextQuery.multiMatchQuery(
-      query,
-      columns,
-      options?.boosts,
-    );
-  }
+    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/lancedb/table.ts
+++ b/nodejs/lancedb/table.ts
@@ -22,12 +22,7 @@ import {
  OptimizeStats,
  Table as _NativeTable,
 } from "./native";
-import {
-  FullTextQuery,
-  Query,
-  VectorQuery,
-  instanceOfFullTextQuery,
-} from "./query";
+import { Query, VectorQuery } from "./query";
 import { sanitizeType } from "./sanitize";
 import { IntoSql, toSQL } from "./util";
 export { IndexConfig } from "./native";
@@ -299,7 +294,7 @@ export abstract class Table {
   * if the query is a string and no embedding function is defined, it will be treated as a full text search query
   */
  abstract search(
-    query: string | IntoVector | FullTextQuery,
+    query: string | IntoVector,
    queryType?: string,
    ftsColumns?: string | string[],
  ): VectorQuery | Query;
@@ -570,11 +565,11 @@ export class LocalTable extends Table {
  }

  search(
-    query: string | IntoVector | FullTextQuery,
+    query: string | IntoVector,
    queryType: string = "auto",
    ftsColumns?: string | string[],
  ): VectorQuery | Query {
-    if (typeof query !== "string" && !instanceOfFullTextQuery(query)) {
+    if (typeof query !== "string") {
      if (queryType === "fts") {
        throw new Error("Cannot perform full text search on a vector query");
      }
@@ -590,10 +585,7 @@ export class LocalTable extends Table {

    // The query type is auto or vector
    // fall back to full text search if no embedding functions are defined and the query is a string
-    if (
-      queryType === "auto" &&
-      (getRegistry().length() === 0 || instanceOfFullTextQuery(query))
-    ) {
+    if (queryType === "auto" && getRegistry().length() === 0) {
      return this.query().fullTextSearch(query, {
        columns: ftsColumns,
      });
--- a/nodejs/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+  "version": "0.19.0-beta.5",
  "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": "0.19.0-beta.6",
+	"version": "0.19.0-beta.5",
 	"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": "0.19.0-beta.6",
+  "version": "0.19.0-beta.5",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.19.0-beta.6",
+      "version": "0.19.0-beta.5",
      "cpu": [
        "x64",
        "arm64"
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.19.0-beta.6",
+  "version": "0.19.0-beta.5",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
--- 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
@@ -3,9 +3,7 @@

 use std::sync::Arc;

-use lancedb::index::scalar::{
-    BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, PhraseQuery,
-};
+use lancedb::index::scalar::{FtsQuery, FullTextSearchQuery, MatchQuery, PhraseQuery};
 use lancedb::query::ExecutableQuery;
 use lancedb::query::Query as LanceDbQuery;
 use lancedb::query::QueryBase;
@@ -20,7 +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 {
@@ -40,8 +38,51 @@ impl Query {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
-        let query = parse_fts_query(query)?;
+    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(())
    }
@@ -202,8 +243,51 @@ impl VectorQuery {
    }

    #[napi]
-    pub fn full_text_search(&mut self, query: napi::JsObject) -> napi::Result<()> {
-        let query = parse_fts_query(query)?;
+    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(())
    }
@@ -292,118 +376,3 @@ impl VectorQuery {
        })
    }
 }
-
-#[napi]
-#[derive(Debug, Clone)]
-pub struct JsFullTextQuery {
-    pub(crate) inner: FtsQuery,
-}
-
-#[napi]
-impl JsFullTextQuery {
-    #[napi(factory)]
-    pub fn match_query(
-        query: String,
-        column: String,
-        boost: f64,
-        fuzziness: Option<u32>,
-        max_expansions: u32,
-    ) -> napi::Result<Self> {
-        Ok(Self {
-            inner: MatchQuery::new(query)
-                .with_column(Some(column))
-                .with_boost(boost as f32)
-                .with_fuzziness(fuzziness)
-                .with_max_expansions(max_expansions as usize)
-                .into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn phrase_query(query: String, column: String) -> napi::Result<Self> {
-        Ok(Self {
-            inner: PhraseQuery::new(query).with_column(Some(column)).into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn boost_query(
-        positive: &JsFullTextQuery,
-        negative: &JsFullTextQuery,
-        negative_boost: Option<f64>,
-    ) -> napi::Result<Self> {
-        Ok(Self {
-            inner: BoostQuery::new(
-                positive.inner.clone(),
-                negative.inner.clone(),
-                negative_boost.map(|v| v as f32),
-            )
-            .into(),
-        })
-    }
-
-    #[napi(factory)]
-    pub fn multi_match_query(
-        query: String,
-        columns: Vec<String>,
-        boosts: Option<Vec<f64>>,
-    ) -> napi::Result<Self> {
-        let q = match boosts {
-            Some(boosts) => MultiMatchQuery::try_new_with_boosts(
-                query,
-                columns,
-                boosts.into_iter().map(|v| v as f32).collect(),
-            ),
-            None => MultiMatchQuery::try_new(query, columns),
-        }
-        .map_err(|e| {
-            napi::Error::from_reason(format!("Failed to create multi match query: {}", e))
-        })?;
-
-        Ok(Self { inner: q.into() })
-    }
-}
-
-fn parse_fts_query(query: napi::JsObject) -> napi::Result<FullTextSearchQuery> {
-    if let Ok(Some(query)) = query.get::<_, &JsFullTextQuery>("query") {
-        Ok(FullTextSearchQuery::new_query(query.inner.clone()))
-    } else if let Ok(Some(query_text)) = query.get::<_, String>("query") {
-        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
-                    ))
-                })?;
-            }
-        }
-        Ok(query)
-    } else {
-        Err(napi::Error::from_reason(
-            "Invalid full text search query object".to_string(),
-        ))
-    }
-}
--- 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 = "0.22.0-beta.7"
+current_version = "0.22.0-beta.5"
 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 = "0.22.0-beta.7"
+version = "0.22.0-beta.5"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -43,9 +43,6 @@ classifiers = [
 repository = "https://github.com/lancedb/lancedb"

 [project.optional-dependencies]
-pylance = [
-    "pylance>=0.23.2",
-]
 tests = [
    "aiohttp",
    "boto3",
--- 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/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
@@ -266,8 +266,8 @@ class MultiMatchQuery(FullTextQuery):

        Parameters
        ----------
-        query : str
-            The query string to match against.
+        query : str | list[Query]
+            If a string, the query string to match against.

        columns : list[str]
            The list of columns to match against.
--- a/python/python/lancedb/rerankers/answerdotai.py
+++ b/python/python/lancedb/rerankers/answerdotai.py
@@ -47,9 +47,6 @@ class AnswerdotaiRerankers(Reranker):
        )

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        docs = result_set[self.column].to_pylist()
        doc_ids = list(range(len(docs)))
        result = self.reranker.rank(query, docs, doc_ids=doc_ids)
@@ -86,6 +83,7 @@ class AnswerdotaiRerankers(Reranker):
        vector_results = self._rerank(vector_results, query)
        if self.score == "relevance":
            vector_results = vector_results.drop_columns(["_distance"])
+
        vector_results = vector_results.sort_by([("_relevance_score", "descending")])
        return vector_results

@@ -93,5 +91,7 @@ class AnswerdotaiRerankers(Reranker):
        fts_results = self._rerank(fts_results, query)
        if self.score == "relevance":
            fts_results = fts_results.drop_columns(["_score"])
+
        fts_results = fts_results.sort_by([("_relevance_score", "descending")])
+
        return fts_results
--- a/python/python/lancedb/rerankers/base.py
+++ b/python/python/lancedb/rerankers/base.py
@@ -65,16 +65,6 @@ class Reranker(ABC):
            f"{self.__class__.__name__} does not implement rerank_vector"
        )

-    def _handle_empty_results(self, results: pa.Table):
-        """
-        Helper method to handle empty FTS results consistently
-        """
-        if len(results) > 0:
-            return results
-        return results.append_column(
-            "_relevance_score", pa.array([], type=pa.float32())
-        )
-
    def rerank_fts(
        self,
        query: str,
--- a/python/python/lancedb/rerankers/cohere.py
+++ b/python/python/lancedb/rerankers/cohere.py
@@ -62,9 +62,6 @@ class CohereReranker(Reranker):
        return cohere.Client(os.environ.get("COHERE_API_KEY") or self.api_key)

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        docs = result_set[self.column].to_pylist()
        response = self._client.rerank(
            query=query,
@@ -102,14 +99,24 @@ class CohereReranker(Reranker):
            )
        return combined_results

-    def rerank_vector(self, query: str, vector_results: pa.Table):
-        vector_results = self._rerank(vector_results, query)
+    def rerank_vector(
+        self,
+        query: str,
+        vector_results: pa.Table,
+    ):
+        result_set = self._rerank(vector_results, query)
        if self.score == "relevance":
-            vector_results = vector_results.drop_columns(["_distance"])
-        return vector_results
+            result_set = result_set.drop_columns(["_distance"])

-    def rerank_fts(self, query: str, fts_results: pa.Table):
-        fts_results = self._rerank(fts_results, query)
+        return result_set
+
+    def rerank_fts(
+        self,
+        query: str,
+        fts_results: pa.Table,
+    ):
+        result_set = self._rerank(fts_results, query)
        if self.score == "relevance":
-            fts_results = fts_results.drop_columns(["_score"])
-        return fts_results
+            result_set = result_set.drop_columns(["_score"])
+
+        return result_set
--- a/python/python/lancedb/rerankers/cross_encoder.py
+++ b/python/python/lancedb/rerankers/cross_encoder.py
@@ -63,9 +63,6 @@ class CrossEncoderReranker(Reranker):
        return cross_encoder

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        passages = result_set[self.column].to_pylist()
        cross_inp = [[query, passage] for passage in passages]
        cross_scores = self.model.predict(cross_inp)
@@ -96,7 +93,11 @@ class CrossEncoderReranker(Reranker):

        return combined_results

-    def rerank_vector(self, query: str, vector_results: pa.Table):
+    def rerank_vector(
+        self,
+        query: str,
+        vector_results: pa.Table,
+    ):
        vector_results = self._rerank(vector_results, query)
        if self.score == "relevance":
            vector_results = vector_results.drop_columns(["_distance"])
@@ -104,7 +105,11 @@ class CrossEncoderReranker(Reranker):
        vector_results = vector_results.sort_by([("_relevance_score", "descending")])
        return vector_results

-    def rerank_fts(self, query: str, fts_results: pa.Table):
+    def rerank_fts(
+        self,
+        query: str,
+        fts_results: pa.Table,
+    ):
        fts_results = self._rerank(fts_results, query)
        if self.score == "relevance":
            fts_results = fts_results.drop_columns(["_score"])
--- a/python/python/lancedb/rerankers/jinaai.py
+++ b/python/python/lancedb/rerankers/jinaai.py
@@ -62,9 +62,6 @@ class JinaReranker(Reranker):
        return self._session

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        docs = result_set[self.column].to_pylist()
        response = self._client.post(  # type: ignore
            API_URL,
@@ -107,14 +104,24 @@ class JinaReranker(Reranker):
            )
        return combined_results

-    def rerank_vector(self, query: str, vector_results: pa.Table):
-        vector_results = self._rerank(vector_results, query)
+    def rerank_vector(
+        self,
+        query: str,
+        vector_results: pa.Table,
+    ):
+        result_set = self._rerank(vector_results, query)
        if self.score == "relevance":
-            vector_results = vector_results.drop_columns(["_distance"])
-        return vector_results
+            result_set = result_set.drop_columns(["_distance"])

-    def rerank_fts(self, query: str, fts_results: pa.Table):
-        fts_results = self._rerank(fts_results, query)
+        return result_set
+
+    def rerank_fts(
+        self,
+        query: str,
+        fts_results: pa.Table,
+    ):
+        result_set = self._rerank(fts_results, query)
        if self.score == "relevance":
-            fts_results = fts_results.drop_columns(["_score"])
-        return fts_results
+            result_set = result_set.drop_columns(["_score"])
+
+        return result_set
--- a/python/python/lancedb/rerankers/openai.py
+++ b/python/python/lancedb/rerankers/openai.py
@@ -44,9 +44,6 @@ class OpenaiReranker(Reranker):
        self.api_key = api_key

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        docs = result_set[self.column].to_pylist()
        response = self._client.chat.completions.create(
            model=self.model_name,
@@ -107,14 +104,18 @@ class OpenaiReranker(Reranker):
        vector_results = self._rerank(vector_results, query)
        if self.score == "relevance":
            vector_results = vector_results.drop_columns(["_distance"])
+
        vector_results = vector_results.sort_by([("_relevance_score", "descending")])
+
        return vector_results

    def rerank_fts(self, query: str, fts_results: pa.Table):
        fts_results = self._rerank(fts_results, query)
        if self.score == "relevance":
            fts_results = fts_results.drop_columns(["_score"])
+
        fts_results = fts_results.sort_by([("_relevance_score", "descending")])
+
        return fts_results

    @cached_property
--- a/python/python/lancedb/rerankers/voyageai.py
+++ b/python/python/lancedb/rerankers/voyageai.py
@@ -63,9 +63,6 @@ class VoyageAIReranker(Reranker):
        )

    def _rerank(self, result_set: pa.Table, query: str):
-        result_set = self._handle_empty_results(result_set)
-        if len(result_set) == 0:
-            return result_set
        docs = result_set[self.column].to_pylist()
        response = self._client.rerank(
            query=query,
@@ -104,14 +101,24 @@ class VoyageAIReranker(Reranker):
            )
        return combined_results

-    def rerank_vector(self, query: str, vector_results: pa.Table):
-        vector_results = self._rerank(vector_results, query)
+    def rerank_vector(
+        self,
+        query: str,
+        vector_results: pa.Table,
+    ):
+        result_set = self._rerank(vector_results, query)
        if self.score == "relevance":
-            vector_results = vector_results.drop_columns(["_distance"])
-        return vector_results
+            result_set = result_set.drop_columns(["_distance"])

-    def rerank_fts(self, query: str, fts_results: pa.Table):
-        fts_results = self._rerank(fts_results, query)
+        return result_set
+
+    def rerank_fts(
+        self,
+        query: str,
+        fts_results: pa.Table,
+    ):
+        result_set = self._rerank(fts_results, query)
        if self.score == "relevance":
-            fts_results = fts_results.drop_columns(["_score"])
-        return fts_results
+            result_set = result_set.drop_columns(["_score"])
+
+        return result_set
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -2141,8 +2141,6 @@ class LanceTable(Table):
            and also the "_distance" column which is the distance between the query
            vector and the returned vector.
        """
-        if isinstance(query, FullTextQuery):
-            query_type = "fts"
        vector_column_name = infer_vector_column_name(
            schema=self.schema,
            query_type=query_type,
@@ -3225,10 +3223,8 @@ class AsyncTable:
        async def get_embedding_func(
            vector_column_name: Optional[str],
            query_type: QueryType,
-            query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery]],
+            query: Optional[Union[VEC, str, "PIL.Image.Image", Tuple]],
        ) -> Tuple[str, EmbeddingFunctionConfig]:
-            if isinstance(query, FullTextQuery):
-                query_type = "fts"
            schema = await self.schema()
            vector_column_name = infer_vector_column_name(
                schema=schema,
--- a/python/python/lancedb/util.py
+++ b/python/python/lancedb/util.py
@@ -253,14 +253,9 @@ def infer_vector_column_name(
    query: Optional[Any],  # inferred later in query builder
    vector_column_name: Optional[str],
 ):
-    if vector_column_name is not None:
-        return vector_column_name
-
-    if query_type == "fts":
-        # FTS queries do not require a vector column
-        return None
-
-    if query is not None or query_type == "hybrid":
+    if (vector_column_name is None and query is not None and query_type != "fts") or (
+        vector_column_name is None and query_type == "hybrid"
+    ):
        try:
            vector_column_name = inf_vector_column_query(schema)
        except Exception as e:
--- 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")

@@ -569,6 +574,12 @@ async def test_table_async():
    )
    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/docs/test_search.py
+++ b/python/python/tests/docs/test_search.py
@@ -6,9 +6,7 @@ import lancedb

 # --8<-- [end:import-lancedb]
 # --8<-- [start:import-numpy]
-from lancedb.query import BoostQuery, MatchQuery
 import numpy as np
-import pyarrow as pa

 # --8<-- [end:import-numpy]
 # --8<-- [start:import-datetime]
@@ -156,84 +154,6 @@ async def test_vector_search_async():
    # --8<-- [end:search_result_async_as_list]


-def test_fts_fuzzy_query():
-    uri = "data/fuzzy-example"
-    db = lancedb.connect(uri)
-
-    table = db.create_table(
-        "my_table_fts_fuzzy",
-        data=pa.table(
-            {
-                "text": [
-                    "fa",
-                    "fo",  # spellchecker:disable-line
-                    "fob",
-                    "focus",
-                    "foo",
-                    "food",
-                    "foul",
-                ]
-            }
-        ),
-        mode="overwrite",
-    )
-    table.create_fts_index("text", use_tantivy=False, replace=True)
-
-    results = table.search(MatchQuery("foo", "text", fuzziness=1)).to_pandas()
-    assert len(results) == 4
-    assert set(results["text"].to_list()) == {
-        "foo",
-        "fo",  # 1 deletion # spellchecker:disable-line
-        "fob",  # 1 substitution
-        "food",  # 1 insertion
-    }
-
-
-def test_fts_boost_query():
-    uri = "data/boost-example"
-    db = lancedb.connect(uri)
-
-    table = db.create_table(
-        "my_table_fts_boost",
-        data=pa.table(
-            {
-                "title": [
-                    "The Hidden Gems of Travel",
-                    "Exploring Nature's Wonders",
-                    "Cultural Treasures Unveiled",
-                    "The Nightlife Chronicles",
-                    "Scenic Escapes and Challenges",
-                ],
-                "desc": [
-                    "A vibrant city with occasional traffic jams.",
-                    "Beautiful landscapes but overpriced tourist spots.",
-                    "Rich cultural heritage but humid summers.",
-                    "Bustling nightlife but noisy streets.",
-                    "Scenic views but limited public transport options.",
-                ],
-            }
-        ),
-        mode="overwrite",
-    )
-    table.create_fts_index("desc", use_tantivy=False, replace=True)
-
-    results = table.search(
-        BoostQuery(
-            MatchQuery("beautiful, cultural, nightlife", "desc"),
-            MatchQuery("bad traffic jams, overpriced", "desc"),
-        ),
-    ).to_pandas()
-
-    # we will hit 3 results because the positive query has 3 hits
-    assert len(results) == 3
-    # the one containing "overpriced" will be negatively boosted,
-    # so it will be the last one
-    assert (
-        results["desc"].to_list()[2]
-        == "Beautiful landscapes but overpriced tourist spots."
-    )
-
-
 def test_fts_native():
    # --8<-- [start:basic_fts]
    uri = "data/sample-lancedb"
--- 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
@@ -22,7 +22,6 @@ from lancedb.db import DBConnection
 from lancedb.index import FTS
 from lancedb.query import BoostQuery, MatchQuery, MultiMatchQuery, PhraseQuery
 import numpy as np
-import pyarrow as pa
 import pandas as pd
 import pytest
 from utils import exception_output
@@ -627,32 +626,3 @@ def test_language(mem_db: DBConnection):
    # Stop words -> no results
    results = table.search("la", query_type="fts").limit(5).to_list()
    assert len(results) == 0
-
-
-def test_fts_on_list(mem_db: DBConnection):
-    data = pa.table(
-        {
-            "text": [
-                ["lance database", "the", "search"],
-                ["lance database"],
-                ["lance", "search"],
-                ["database", "search"],
-                ["unrelated", "doc"],
-            ],
-            "vector": [
-                [1.0, 2.0, 3.0],
-                [4.0, 5.0, 6.0],
-                [7.0, 8.0, 9.0],
-                [10.0, 11.0, 12.0],
-                [13.0, 14.0, 15.0],
-            ],
-        }
-    )
-    table = mem_db.create_table("test", data=data)
-    table.create_fts_index("text", use_tantivy=False)
-
-    res = table.search("lance").limit(5).to_list()
-    assert len(res) == 3
-
-    res = table.search(PhraseQuery("lance database", "text")).limit(5).to_list()
-    assert len(res) == 2
--- a/python/python/tests/test_rerankers.py
+++ b/python/python/tests/test_rerankers.py
@@ -457,45 +457,3 @@ def test_voyageai_reranker(tmp_path, use_tantivy):
    reranker = VoyageAIReranker(model_name="rerank-2")
    table, schema = get_test_table(tmp_path, use_tantivy)
    _run_test_reranker(reranker, table, "single player experience", None, schema)
-
-
-def test_empty_result_reranker():
-    pytest.importorskip("sentence_transformers")
-    db = lancedb.connect("memory://")
-
-    # Define schema
-    schema = pa.schema(
-        [
-            ("id", pa.int64()),
-            ("text", pa.string()),
-            ("vector", pa.list_(pa.float32(), 128)),  # 128-dimensional vector
-        ]
-    )
-
-    # Create empty table with schema
-    empty_table = db.create_table("empty_table", schema=schema, mode="overwrite")
-    empty_table.create_fts_index("text", use_tantivy=False, replace=True)
-    for reranker in [
-        CrossEncoderReranker(),
-        # ColbertReranker(),
-        # AnswerdotaiRerankers(),
-        # OpenaiReranker(),
-        # JinaReranker(),
-        # VoyageAIReranker(model_name="rerank-2"),
-    ]:
-        results = (
-            empty_table.search(list(range(128)))
-            .limit(3)
-            .rerank(reranker, "query")
-            .to_arrow()
-        )
-        # check if empty set contains _relevance_score column
-        assert "_relevance_score" in results.column_names
-        assert len(results) == 0
-
-        results = (
-            empty_table.search("query", query_type="fts")
-            .limit(3)
-            .rerank(reranker)
-            .to_arrow()
-        )
--- 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
@@ -46,7 +46,7 @@ pub struct PyFullTextSearchQuery {

 impl From<FullTextSearchQuery> for PyFullTextSearchQuery {
    fn from(query: FullTextSearchQuery) -> Self {
-        Self {
+        PyFullTextSearchQuery {
            columns: query.columns().into_iter().collect(),
            query: query.query.query().to_owned(),
            limit: query.limit,
@@ -100,7 +100,7 @@ pub struct PyQueryRequest {
 impl From<AnyQuery> for PyQueryRequest {
    fn from(query: AnyQuery) -> Self {
        match query {
-            AnyQuery::Query(query_request) => Self {
+            AnyQuery::Query(query_request) => PyQueryRequest {
                limit: query_request.limit,
                offset: query_request.offset,
                filter: query_request.filter.map(PyQueryFilter),
@@ -122,7 +122,7 @@ impl From<AnyQuery> for PyQueryRequest {
                postfilter: None,
                norm: None,
            },
-            AnyQuery::VectorQuery(vector_query) => Self {
+            AnyQuery::VectorQuery(vector_query) => PyQueryRequest {
                limit: vector_query.base.limit,
                offset: vector_query.base.offset,
                filter: vector_query.base.filter.map(PyQueryFilter),
--- a/rust/ffi/node/Cargo.toml
+++ b/rust/ffi/node/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-node"
-version = "0.19.0-beta.6"
+version = "0.19.0-beta.5"
 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 = "0.19.0-beta.6"
+version = "0.19.0-beta.5"
 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
    }

@@ -863,7 +868,7 @@ impl ConnectBuilder {
 /// # Arguments
 ///
 /// * `uri` - URI where the database is located, can be a local directory, supported remote cloud storage,
-///   or a LanceDB Cloud database.  See [ConnectOptions::uri] for a list of accepted formats
+///           or a LanceDB Cloud database.  See [ConnectOptions::uri] for a list of accepted formats
 pub fn connect(uri: &str) -> ConnectBuilder {
    ConnectBuilder::new(uri)
 }
@@ -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/data/inspect.rs
+++ b/rust/lancedb/src/data/inspect.rs
@@ -41,7 +41,7 @@ where
 /// ----------
 /// - reader: RecordBatchReader
 /// - strict: if set true, only `fixed_size_list<float>` is considered as vector column. If set to false,
-///   a `list<float>` column with same length is also considered as vector column.
+///           a `list<float>` column with same length is also considered as vector column.
 pub fn infer_vector_columns(
    reader: impl RecordBatchReader + Send,
    strict: bool,
--- a/rust/lancedb/src/lib.rs
+++ b/rust/lancedb/src/lib.rs
@@ -31,7 +31,7 @@
 //! are not yet ready to be released.
 //!
 //! - `remote` - Enable remote client to connect to LanceDB cloud.  This is not yet fully implemented
-//!   and should not be enabled.
+//!              and should not be enabled.
 //!
 //! ### Quick Start
 //!
--- a/rust/lancedb/src/rerankers.rs
+++ b/rust/lancedb/src/rerankers.rs
@@ -29,8 +29,8 @@ impl FromStr for NormalizeMethod {

    fn from_str(s: &str) -> Result<Self> {
        match s.to_lowercase().as_str() {
-            "score" => Ok(Self::Score),
-            "rank" => Ok(Self::Rank),
+            "score" => Ok(NormalizeMethod::Score),
+            "rank" => Ok(NormalizeMethod::Rank),
            _ => Err(Error::InvalidInput {
                message: format!("invalid normalize method: {}", s),
            }),
@@ -41,8 +41,8 @@ impl FromStr for NormalizeMethod {
 impl std::fmt::Display for NormalizeMethod {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
-            Self::Score => write!(f, "score"),
-            Self::Rank => write!(f, "rank"),
+            NormalizeMethod::Score => write!(f, "score"),
+            NormalizeMethod::Rank => write!(f, "rank"),
        }
    }
 }
--- a/rust/lancedb/src/table.rs
+++ b/rust/lancedb/src/table.rs
@@ -794,8 +794,8 @@ impl Table {
    /// # Arguments
    ///
    /// * `on` One or more columns to join on.  This is how records from the
-    ///   source table and target table are matched.  Typically this is some
-    ///   kind of key or id column.
+    ///    source table and target table are matched.  Typically this is some
+    ///    kind of key or id column.
    ///
    /// # Examples
    ///
@@ -2629,7 +2629,7 @@ 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();
@@ -2712,7 +2712,7 @@ 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();
@@ -2909,7 +2909,7 @@ 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();
@@ -3480,7 +3480,8 @@ 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();
@@ -3516,7 +3517,7 @@ 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();
@@ -3537,7 +3538,7 @@ 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();
@@ -3612,7 +3613,7 @@ 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();
@@ -3674,7 +3675,7 @@ 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 +45,18 @@ 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 +70,24 @@ 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 +125,74 @@ 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 +202,7 @@ impl DatasetConsistencyWrapper {
            dataset,
            read_consistency_interval,
            last_consistency_check: Some(Instant::now()),
+            refresh_task: None,
        })))
    }

@@ -188,18 +261,9 @@ 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 +309,26 @@ 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(())
    }
 }
@@ -303,7 +384,7 @@ mod tests {
    #[tokio::test]
    async fn test_iops_open_strong_consistency() {
        let db = connect("memory://")
-            .read_consistency_interval(Duration::ZERO)
+            .read_consistency_interval(Some(Duration::ZERO))
            .execute()
            .await
            .expect("Failed to connect to database");
--- a/rust/lancedb/src/utils.rs
+++ b/rust/lancedb/src/utils.rs
@@ -158,17 +158,7 @@ pub fn supported_label_list_data_type(dtype: &DataType) -> bool {
 }

 pub fn supported_fts_data_type(dtype: &DataType) -> bool {
-    supported_fts_data_type_impl(dtype, false)
-}
-
-fn supported_fts_data_type_impl(dtype: &DataType, in_list: bool) -> bool {
-    match (dtype, in_list) {
-        (DataType::Utf8 | DataType::LargeUtf8, _) => true,
-        (DataType::List(field) | DataType::LargeList(field), false) => {
-            supported_fts_data_type_impl(field.data_type(), true)
-        }
-        _ => false,
-    }
+    matches!(dtype, DataType::Utf8 | DataType::LargeUtf8)
 }

 pub fn supported_vector_data_type(dtype: &DataType) -> bool {
Author	SHA1	Message	Date
ayush chaurasia	1f8950653a	fix	2025-04-23 18:36:46 +05:30
Ayush Chaurasia	d071268058	Update docs/src/guides/mcp.md Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>	2025-04-21 22:51:48 +05:30
ayush chaurasia	3f99313ec6	update	2025-04-09 11:46:44 +05:30
ayush chaurasia	8cb1665708	add basic MCP guide	2025-04-07 20:26:46 +05:30