diff --git a/Cargo.lock b/Cargo.lock
index 29367189..6b063413 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1816,27 +1816,30 @@ dependencies = [
 
 [[package]]
 name = "datafusion"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "eae420e7a5b0b7f1c39364cc76cbcd0f5fdc416b2514ae3847c2676bbd60702a"
+checksum = "914e6f9525599579abbd90b0f7a55afcaaaa40350b9e9ed52563f126dfe45fd3"
 dependencies = [
  "arrow",
- "arrow-array",
  "arrow-ipc",
  "arrow-schema",
  "async-trait",
  "bytes",
  "chrono",
  "datafusion-catalog",
+ "datafusion-catalog-listing",
  "datafusion-common",
  "datafusion-common-runtime",
+ "datafusion-datasource",
  "datafusion-execution",
  "datafusion-expr",
+ "datafusion-expr-common",
  "datafusion-functions",
  "datafusion-functions-aggregate",
  "datafusion-functions-nested",
  "datafusion-functions-table",
  "datafusion-functions-window",
+ "datafusion-macros",
  "datafusion-optimizer",
  "datafusion-physical-expr",
  "datafusion-physical-expr-common",
@@ -1844,14 +1847,13 @@ dependencies = [
  "datafusion-physical-plan",
  "datafusion-sql",
  "futures",
- "glob",
  "itertools 0.14.0",
  "log",
  "object_store",
  "parking_lot",
  "rand 0.8.5",
  "regex",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
  "tempfile",
  "tokio",
  "url",
@@ -1860,9 +1862,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-catalog"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6f27987bc22b810939e8dfecc55571e9d50355d6ea8ec1c47af8383a76a6d0e1"
+checksum = "998a6549e6ee4ee3980e05590b2960446a56b343ea30199ef38acd0e0b9036e2"
 dependencies = [
  "arrow",
  "async-trait",
@@ -1876,21 +1878,39 @@ dependencies = [
  "itertools 0.14.0",
  "log",
  "parking_lot",
- "sqlparser 0.53.0",
+]
+
+[[package]]
+name = "datafusion-catalog-listing"
+version = "46.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a5ac10096a5b3c0d8a227176c0e543606860842e943594ccddb45cf42a526e43"
+dependencies = [
+ "arrow",
+ "async-trait",
+ "datafusion-catalog",
+ "datafusion-common",
+ "datafusion-datasource",
+ "datafusion-execution",
+ "datafusion-expr",
+ "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
+ "datafusion-physical-plan",
+ "futures",
+ "log",
+ "object_store",
+ "tokio",
 ]
 
 [[package]]
 name = "datafusion-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e3f6d5b8c9408cc692f7c194b8aa0c0f9b253e065a8d960ad9cdc2a13e697602"
+checksum = "1f53d7ec508e1b3f68bd301cee3f649834fad51eff9240d898a4b2614cfd0a7a"
 dependencies = [
  "ahash",
  "arrow",
- "arrow-array",
- "arrow-buffer",
  "arrow-ipc",
- "arrow-schema",
  "base64 0.22.1",
  "half",
  "hashbrown 0.14.5",
@@ -1899,32 +1919,60 @@ dependencies = [
  "log",
  "object_store",
  "paste",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
  "tokio",
  "web-time",
 ]
 
 [[package]]
 name = "datafusion-common-runtime"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0d4603c8e8a4baf77660ab7074cc66fc15cc8a18f2ce9dfadb755fc6ee294e48"
+checksum = "e0fcf41523b22e14cc349b01526e8b9f59206653037f2949a4adbfde5f8cb668"
 dependencies = [
  "log",
  "tokio",
 ]
 
 [[package]]
-name = "datafusion-doc"
-version = "45.0.0"
+name = "datafusion-datasource"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e5bf4bc68623a5cf231eed601ed6eb41f46a37c4d15d11a0bff24cbc8396cd66"
+checksum = "cf7f37ad8b6e88b46c7eeab3236147d32ea64b823544f498455a8d9042839c92"
+dependencies = [
+ "arrow",
+ "async-trait",
+ "bytes",
+ "chrono",
+ "datafusion-catalog",
+ "datafusion-common",
+ "datafusion-common-runtime",
+ "datafusion-execution",
+ "datafusion-expr",
+ "datafusion-physical-expr",
+ "datafusion-physical-expr-common",
+ "datafusion-physical-plan",
+ "futures",
+ "glob",
+ "itertools 0.14.0",
+ "log",
+ "object_store",
+ "rand 0.8.5",
+ "tokio",
+ "url",
+]
+
+[[package]]
+name = "datafusion-doc"
+version = "46.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7db7a0239fd060f359dc56c6e7db726abaa92babaed2fb2e91c3a8b2fff8b256"
 
 [[package]]
 name = "datafusion-execution"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "88b491c012cdf8e051053426013429a76f74ee3c2db68496c79c323ca1084d27"
+checksum = "0938f9e5b6bc5782be4111cdfb70c02b7b5451bf34fd57e4de062a7f7c4e31f1"
 dependencies = [
  "arrow",
  "dashmap",
@@ -1941,9 +1989,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-expr"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e5a181408d4fc5dc22f9252781a8f39f2d0e5d1b33ec9bde242844980a2689c1"
+checksum = "b36c28b00b00019a8695ad7f1a53ee1673487b90322ecbd604e2cf32894eb14f"
 dependencies = [
  "arrow",
  "chrono",
@@ -1956,26 +2004,27 @@ dependencies = [
  "indexmap 2.8.0",
  "paste",
  "serde_json",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 ]
 
 [[package]]
 name = "datafusion-expr-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d1129b48e8534d8c03c6543bcdccef0b55c8ac0c1272a15a56c67068b6eb1885"
+checksum = "18f0a851a436c5a2139189eb4617a54e6a9ccb9edc96c4b3c83b3bb7c58b950e"
 dependencies = [
  "arrow",
  "datafusion-common",
+ "indexmap 2.8.0",
  "itertools 0.14.0",
  "paste",
 ]
 
 [[package]]
 name = "datafusion-functions"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6125874e4856dfb09b59886784fcb74cde5cfc5930b3a80a1a728ef7a010df6b"
+checksum = "e3196e37d7b65469fb79fee4f05e5bb58a456831035f9a38aa5919aeb3298d40"
 dependencies = [
  "arrow",
  "arrow-buffer",
@@ -1989,7 +2038,6 @@ dependencies = [
  "datafusion-expr",
  "datafusion-expr-common",
  "datafusion-macros",
- "hashbrown 0.14.5",
  "hex",
  "itertools 0.14.0",
  "log",
@@ -2003,14 +2051,12 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-aggregate"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f3add7b1d3888e05e7c95f2b281af900ca69ebdcb21069ba679b33bde8b3b9d6"
+checksum = "adfc2d074d5ee4d9354fdcc9283d5b2b9037849237ddecb8942a29144b77ca05"
 dependencies = [
  "ahash",
  "arrow",
- "arrow-buffer",
- "arrow-schema",
  "datafusion-common",
  "datafusion-doc",
  "datafusion-execution",
@@ -2026,9 +2072,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-aggregate-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6e18baa4cfc3d2f144f74148ed68a1f92337f5072b6dde204a0dbbdf3324989c"
+checksum = "1cbceba0f98d921309a9121b702bcd49289d383684cccabf9a92cda1602f3bbb"
 dependencies = [
  "ahash",
  "arrow",
@@ -2039,15 +2085,12 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-nested"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3ec5ee8cecb0dc370291279673097ddabec03a011f73f30d7f1096457127e03e"
+checksum = "170e27ce4baa27113ddf5f77f1a7ec484b0dbeda0c7abbd4bad3fc609c8ab71a"
 dependencies = [
  "arrow",
- "arrow-array",
- "arrow-buffer",
  "arrow-ord",
- "arrow-schema",
  "datafusion-common",
  "datafusion-doc",
  "datafusion-execution",
@@ -2063,9 +2106,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-table"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2c403ddd473bbb0952ba880008428b3c7febf0ed3ce1eec35a205db20efb2a36"
+checksum = "7d3a06a7f0817ded87b026a437e7e51de7f59d48173b0a4e803aa896a7bd6bb5"
 dependencies = [
  "arrow",
  "async-trait",
@@ -2079,9 +2122,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-window"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1ab18c2fb835614d06a75f24a9e09136d3a8c12a92d97c95a6af316a1787a9c5"
+checksum = "d6c608b66496a1e05e3d196131eb9bebea579eed1f59e88d962baf3dda853bc6"
 dependencies = [
  "datafusion-common",
  "datafusion-doc",
@@ -2096,9 +2139,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-functions-window-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a77b73bc15e7d1967121fdc7a55d819bfb9d6c03766a6c322247dce9094a53a4"
+checksum = "da2f9d83348957b4ad0cd87b5cb9445f2651863a36592fe5484d43b49a5f8d82"
 dependencies = [
  "datafusion-common",
  "datafusion-physical-expr-common",
@@ -2106,9 +2149,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-macros"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "09369b8d962291e808977cf94d495fd8b5b38647232d7ef562c27ac0f495b0af"
+checksum = "4800e1ff7ecf8f310887e9b54c9c444b8e215ccbc7b21c2f244cfae373b1ece7"
 dependencies = [
  "datafusion-expr",
  "quote",
@@ -2117,9 +2160,9 @@ dependencies = [
 
 [[package]]
 name = "datafusion-optimizer"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2403a7e4a84637f3de7d8d4d7a9ccc0cc4be92d89b0161ba3ee5be82f0531c54"
+checksum = "971c51c54cd309001376fae752fb15a6b41750b6d1552345c46afbfb6458801b"
 dependencies = [
  "arrow",
  "chrono",
@@ -2135,15 +2178,12 @@ dependencies = [
 
 [[package]]
 name = "datafusion-physical-expr"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "86ff72ac702b62dbf2650c4e1d715ebd3e4aab14e3885e72e8549e250307347c"
+checksum = "e1447c2c6bc8674a16be4786b4abf528c302803fafa186aa6275692570e64d85"
 dependencies = [
  "ahash",
  "arrow",
- "arrow-array",
- "arrow-buffer",
- "arrow-schema",
  "datafusion-common",
  "datafusion-expr",
  "datafusion-expr-common",
@@ -2160,13 +2200,12 @@ dependencies = [
 
 [[package]]
 name = "datafusion-physical-expr-common"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "60982b7d684e25579ee29754b4333057ed62e2cc925383c5f0bd8cab7962f435"
+checksum = "69f8c25dcd069073a75b3d2840a79d0f81e64bdd2c05f2d3d18939afb36a7dcb"
 dependencies = [
  "ahash",
  "arrow",
- "arrow-buffer",
  "datafusion-common",
  "datafusion-expr-common",
  "hashbrown 0.14.5",
@@ -2175,12 +2214,11 @@ dependencies = [
 
 [[package]]
 name = "datafusion-physical-optimizer"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ac5e85c189d5238a5cf181a624e450c4cd4c66ac77ca551d6f3ff9080bac90bb"
+checksum = "68da5266b5b9847c11d1b3404ee96b1d423814e1973e1ad3789131e5ec912763"
 dependencies = [
  "arrow",
- "arrow-schema",
  "datafusion-common",
  "datafusion-execution",
  "datafusion-expr",
@@ -2188,22 +2226,18 @@ dependencies = [
  "datafusion-physical-expr",
  "datafusion-physical-expr-common",
  "datafusion-physical-plan",
- "futures",
  "itertools 0.14.0",
  "log",
- "url",
 ]
 
 [[package]]
 name = "datafusion-physical-plan"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c36bf163956d7e2542657c78b3383fdc78f791317ef358a359feffcdb968106f"
+checksum = "88cc160df00e413e370b3b259c8ea7bfbebc134d32de16325950e9e923846b7f"
 dependencies = [
  "ahash",
  "arrow",
- "arrow-array",
- "arrow-buffer",
  "arrow-ord",
  "arrow-schema",
  "async-trait",
@@ -2228,20 +2262,18 @@ dependencies = [
 
 [[package]]
 name = "datafusion-sql"
-version = "45.0.0"
+version = "46.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e13caa4daede211ecec53c78b13c503b592794d125f9a3cc3afe992edf9e7f43"
+checksum = "325a212b67b677c0eb91447bf9a11b630f9fc4f62d8e5d145bf859f5a6b29e64"
 dependencies = [
  "arrow",
- "arrow-array",
- "arrow-schema",
  "bigdecimal",
  "datafusion-common",
  "datafusion-expr",
  "indexmap 2.8.0",
  "log",
  "regex",
- "sqlparser 0.53.0",
+ "sqlparser 0.54.0",
 ]
 
 [[package]]
@@ -2687,12 +2719,21 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
 
 [[package]]
 name = "fsst"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "rand 0.8.5",
 ]
 
+[[package]]
+name = "fst"
+version = "0.4.7"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "7ab85b9b05e3978cc9a9cf8fea7f01b494e1a09ed3037e16ba39edc7a29eb61a"
+dependencies = [
+ "utf8-ranges",
+]
+
 [[package]]
 name = "funty"
 version = "2.0.0"
@@ -3666,8 +3707,8 @@ dependencies = [
 
 [[package]]
 name = "lance"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow",
  "arrow-arith",
@@ -3726,8 +3767,8 @@ dependencies = [
 
 [[package]]
 name = "lance-arrow"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -3744,8 +3785,8 @@ dependencies = [
 
 [[package]]
 name = "lance-core"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -3781,8 +3822,8 @@ dependencies = [
 
 [[package]]
 name = "lance-datafusion"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -3798,6 +3839,7 @@ dependencies = [
  "futures",
  "lance-arrow",
  "lance-core",
+ "lance-datagen",
  "lazy_static",
  "log",
  "prost",
@@ -3806,10 +3848,26 @@ dependencies = [
  "tracing",
 ]
 
+[[package]]
+name = "lance-datagen"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
+dependencies = [
+ "arrow",
+ "arrow-array",
+ "arrow-cast",
+ "arrow-schema",
+ "chrono",
+ "futures",
+ "hex",
+ "rand 0.8.5",
+ "rand_xoshiro",
+]
+
 [[package]]
 name = "lance-encoding"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrayref",
  "arrow",
@@ -3832,6 +3890,7 @@ dependencies = [
  "lance-core",
  "lazy_static",
  "log",
+ "lz4",
  "num-traits",
  "paste",
  "prost",
@@ -3847,8 +3906,8 @@ dependencies = [
 
 [[package]]
 name = "lance-file"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -3882,8 +3941,8 @@ dependencies = [
 
 [[package]]
 name = "lance-index"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -3902,6 +3961,7 @@ dependencies = [
  "datafusion-sql",
  "deepsize",
  "dirs",
+ "fst",
  "futures",
  "half",
  "itertools 0.13.0",
@@ -3935,8 +3995,8 @@ dependencies = [
 
 [[package]]
 name = "lance-io"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow",
  "arrow-arith",
@@ -3974,8 +4034,8 @@ dependencies = [
 
 [[package]]
 name = "lance-linalg"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow-array",
  "arrow-ord",
@@ -3998,8 +4058,8 @@ dependencies = [
 
 [[package]]
 name = "lance-table"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -4038,8 +4098,8 @@ dependencies = [
 
 [[package]]
 name = "lance-testing"
-version = "0.25.1"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.25.1-beta.3#33634d3b2e8f6a54e63a97721c7fcd31206e999a"
+version = "0.25.3"
+source = "git+https://github.com/lancedb/lance?tag=v0.25.3-beta.1#ca2e69c2be80b0714d5ef1db5265bae9fadf682c"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -4050,7 +4110,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb"
-version = "0.18.3-beta.0"
+version = "0.19.0-beta.0"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -4137,7 +4197,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-node"
-version = "0.18.3-beta.0"
+version = "0.19.0-beta.0"
 dependencies = [
  "arrow-array",
  "arrow-ipc",
@@ -4162,7 +4222,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-nodejs"
-version = "0.18.3-beta.0"
+version = "0.19.0-beta.0"
 dependencies = [
  "arrow-array",
  "arrow-ipc",
@@ -4180,7 +4240,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-python"
-version = "0.21.3-beta.0"
+version = "0.22.0-beta.0"
 dependencies = [
  "arrow",
  "env_logger",
@@ -5895,6 +5955,15 @@ dependencies = [
  "rand 0.8.5",
 ]
 
+[[package]]
+name = "rand_xoshiro"
+version = "0.6.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6f97cdb2a36ed4183de61b2f824cc45c9f1037f28afe0a322e9fff4c108b5aaa"
+dependencies = [
+ "rand_core 0.6.4",
+]
+
 [[package]]
 name = "random_word"
 version = "0.4.3"
@@ -6781,11 +6850,12 @@ dependencies = [
 
 [[package]]
 name = "sqlparser"
-version = "0.53.0"
+version = "0.54.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "05a528114c392209b3264855ad491fcce534b94a38771b0a0b97a79379275ce8"
+checksum = "c66e3b7374ad4a6af849b08b3e7a6eda0edbd82f0fd59b57e22671bf16979899"
 dependencies = [
  "log",
+ "recursive",
  "sqlparser_derive",
 ]
 
@@ -7636,7 +7706,9 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "458f7a779bf54acc9f347480ac654f68407d3aab21269a6e3c9f922acd9e2da9"
 dependencies = [
  "getrandom 0.3.2",
+ "js-sys",
  "serde",
+ "wasm-bindgen",
 ]
 
 [[package]]
diff --git a/Cargo.toml b/Cargo.toml
index bb2cf7a3..f752ea45 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -21,16 +21,16 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"
 
 [workspace.dependencies]
-lance = { "version" = "=0.25.1", "features" = [
+lance = { "version" = "=0.25.3", "features" = [
     "dynamodb",
-], tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-io = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-index = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-linalg = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-table = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-testing = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-datafusion = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
-lance-encoding = { version = "=0.25.1", tag = "v0.25.1-beta.3", git = "https://github.com/lancedb/lance.git" }
+], tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-io = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-index = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-linalg = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-table = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-testing = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-datafusion = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
+lance-encoding = { version = "=0.25.3", tag = "v0.25.3-beta.1", git = "https://github.com/lancedb/lance" }
 # Note that this one does not include pyarrow
 arrow = { version = "54.1", optional = false }
 arrow-array = "54.1"
@@ -41,12 +41,12 @@ arrow-schema = "54.1"
 arrow-arith = "54.1"
 arrow-cast = "54.1"
 async-trait = "0"
-datafusion = { version = "45.0", default-features = false }
-datafusion-catalog = "45.0"
-datafusion-common = { version = "45.0", default-features = false }
-datafusion-execution = "45.0"
-datafusion-expr = "45.0"
-datafusion-physical-plan = "45.0"
+datafusion = { version = "46.0", default-features = false }
+datafusion-catalog = "46.0"
+datafusion-common = { version = "46.0", default-features = false }
+datafusion-execution = "46.0"
+datafusion-expr = "46.0"
+datafusion-physical-plan = "46.0"
 env_logger = "0.11"
 half = { "version" = "=2.4.1", default-features = false, features = [
     "num-traits",
diff --git a/docs/src/js/classes/BoostQuery.md b/docs/src/js/classes/BoostQuery.md
new file mode 100644
index 00000000..450c3cc3
--- /dev/null
+++ b/docs/src/js/classes/BoostQuery.md
@@ -0,0 +1,75 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / BoostQuery
+
+# Class: BoostQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new BoostQuery()
+
+```ts
+new BoostQuery(
+   positive,
+   negative,
+   negativeBoost): BoostQuery
+```
+
+Creates an instance of BoostQuery.
+
+#### Parameters
+
+* **positive**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
+    The positive query that boosts the relevance score.
+
+* **negative**: [`FullTextQuery`](../interfaces/FullTextQuery.md)
+    The negative query that reduces the relevance score.
+
+* **negativeBoost**: `number`
+    The factor by which the negative query reduces the score.
+
+#### Returns
+
+[`BoostQuery`](BoostQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
diff --git a/docs/src/js/classes/MatchQuery.md b/docs/src/js/classes/MatchQuery.md
new file mode 100644
index 00000000..9b0e6a95
--- /dev/null
+++ b/docs/src/js/classes/MatchQuery.md
@@ -0,0 +1,83 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / MatchQuery
+
+# Class: MatchQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new MatchQuery()
+
+```ts
+new MatchQuery(
+   query,
+   column,
+   boost,
+   fuzziness,
+   maxExpansions): MatchQuery
+```
+
+Creates an instance of MatchQuery.
+
+#### Parameters
+
+* **query**: `string`
+    The text query to search for.
+
+* **column**: `string`
+    The name of the column to search within.
+
+* **boost**: `number` = `1.0`
+    (Optional) The boost factor to influence the relevance score of this query. Default is `1.0`.
+
+* **fuzziness**: `number` = `0`
+    (Optional) The allowed edit distance for fuzzy matching. Default is `0`.
+
+* **maxExpansions**: `number` = `50`
+    (Optional) The maximum number of terms to consider for fuzzy matching. Default is `50`.
+
+#### Returns
+
+[`MatchQuery`](MatchQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
diff --git a/docs/src/js/classes/MultiMatchQuery.md b/docs/src/js/classes/MultiMatchQuery.md
new file mode 100644
index 00000000..f1e5673f
--- /dev/null
+++ b/docs/src/js/classes/MultiMatchQuery.md
@@ -0,0 +1,77 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / MultiMatchQuery
+
+# Class: MultiMatchQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new MultiMatchQuery()
+
+```ts
+new MultiMatchQuery(
+   query,
+   columns,
+   boosts): MultiMatchQuery
+```
+
+Creates an instance of MultiMatchQuery.
+
+#### Parameters
+
+* **query**: `string`
+    The text query to search for across multiple columns.
+
+* **columns**: `string`[]
+    An array of column names to search within.
+
+* **boosts**: `number`[] = `...`
+    (Optional) An array of boost factors corresponding to each column. Default is an array of 1.0 for each column.
+    The `boosts` array should have the same length as `columns`. If not provided, all columns will have a default boost of 1.0.
+    If the length of `boosts` is less than `columns`, it will be padded with 1.0s.
+
+#### Returns
+
+[`MultiMatchQuery`](MultiMatchQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
diff --git a/docs/src/js/classes/PhraseQuery.md b/docs/src/js/classes/PhraseQuery.md
new file mode 100644
index 00000000..66b62dd4
--- /dev/null
+++ b/docs/src/js/classes/PhraseQuery.md
@@ -0,0 +1,69 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / PhraseQuery
+
+# Class: PhraseQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Implements
+
+- [`FullTextQuery`](../interfaces/FullTextQuery.md)
+
+## Constructors
+
+### new PhraseQuery()
+
+```ts
+new PhraseQuery(query, column): PhraseQuery
+```
+
+Creates an instance of `PhraseQuery`.
+
+#### Parameters
+
+* **query**: `string`
+    The phrase to search for in the specified column.
+
+* **column**: `string`
+    The name of the column to search within.
+
+#### Returns
+
+[`PhraseQuery`](PhraseQuery.md)
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`queryType`](../interfaces/FullTextQuery.md#querytype)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
+
+#### Implementation of
+
+[`FullTextQuery`](../interfaces/FullTextQuery.md).[`toDict`](../interfaces/FullTextQuery.md#todict)
diff --git a/docs/src/js/classes/Query.md b/docs/src/js/classes/Query.md
index 3d35251d..ae1ff574 100644
--- a/docs/src/js/classes/Query.md
+++ b/docs/src/js/classes/Query.md
@@ -206,7 +206,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 
@@ -309,7 +309,7 @@ nearestToText(query, columns?): Query
 
 #### Parameters
 
-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
 
 * **columns?**: `string`[]
 
diff --git a/docs/src/js/classes/QueryBase.md b/docs/src/js/classes/QueryBase.md
index 77bb1690..b58173ed 100644
--- a/docs/src/js/classes/QueryBase.md
+++ b/docs/src/js/classes/QueryBase.md
@@ -192,7 +192,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 
diff --git a/docs/src/js/classes/VectorQuery.md b/docs/src/js/classes/VectorQuery.md
index c5d86c70..568ded42 100644
--- a/docs/src/js/classes/VectorQuery.md
+++ b/docs/src/js/classes/VectorQuery.md
@@ -347,7 +347,7 @@ fullTextSearch(query, options?): this
 
 #### Parameters
 
-* **query**: `string`
+* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
 
 * **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
 
diff --git a/docs/src/js/enumerations/FullTextQueryType.md b/docs/src/js/enumerations/FullTextQueryType.md
new file mode 100644
index 00000000..baec0d51
--- /dev/null
+++ b/docs/src/js/enumerations/FullTextQueryType.md
@@ -0,0 +1,46 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FullTextQueryType
+
+# Enumeration: FullTextQueryType
+
+Enum representing the types of full-text queries supported.
+
+- `Match`: Performs a full-text search for terms in the query string.
+- `MatchPhrase`: Searches for an exact phrase match in the text.
+- `Boost`: Boosts the relevance score of specific terms in the query.
+- `MultiMatch`: Searches across multiple fields for the query terms.
+
+## Enumeration Members
+
+### Boost
+
+```ts
+Boost: "boost";
+```
+
+***
+
+### Match
+
+```ts
+Match: "match";
+```
+
+***
+
+### MatchPhrase
+
+```ts
+MatchPhrase: "match_phrase";
+```
+
+***
+
+### MultiMatch
+
+```ts
+MultiMatch: "multi_match";
+```
diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md
index f57acf68..2b1d546c 100644
--- a/docs/src/js/globals.md
+++ b/docs/src/js/globals.md
@@ -9,12 +9,20 @@
 - [embedding](namespaces/embedding/README.md)
 - [rerankers](namespaces/rerankers/README.md)
 
+## Enumerations
+
+- [FullTextQueryType](enumerations/FullTextQueryType.md)
+
 ## Classes
 
+- [BoostQuery](classes/BoostQuery.md)
 - [Connection](classes/Connection.md)
 - [Index](classes/Index.md)
 - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md)
+- [MatchQuery](classes/MatchQuery.md)
 - [MergeInsertBuilder](classes/MergeInsertBuilder.md)
+- [MultiMatchQuery](classes/MultiMatchQuery.md)
+- [PhraseQuery](classes/PhraseQuery.md)
 - [Query](classes/Query.md)
 - [QueryBase](classes/QueryBase.md)
 - [RecordBatchIterator](classes/RecordBatchIterator.md)
@@ -33,6 +41,7 @@
 - [CreateTableOptions](interfaces/CreateTableOptions.md)
 - [ExecutableQuery](interfaces/ExecutableQuery.md)
 - [FtsOptions](interfaces/FtsOptions.md)
+- [FullTextQuery](interfaces/FullTextQuery.md)
 - [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
 - [HnswPqOptions](interfaces/HnswPqOptions.md)
 - [HnswSqOptions](interfaces/HnswSqOptions.md)
diff --git a/docs/src/js/interfaces/FullTextQuery.md b/docs/src/js/interfaces/FullTextQuery.md
new file mode 100644
index 00000000..bf63433e
--- /dev/null
+++ b/docs/src/js/interfaces/FullTextQuery.md
@@ -0,0 +1,35 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / FullTextQuery
+
+# Interface: FullTextQuery
+
+Represents a full-text query interface.
+This interface defines the structure and behavior for full-text queries,
+including methods to retrieve the query type and convert the query to a dictionary format.
+
+## Methods
+
+### queryType()
+
+```ts
+queryType(): FullTextQueryType
+```
+
+#### Returns
+
+[`FullTextQueryType`](../enumerations/FullTextQueryType.md)
+
+***
+
+### toDict()
+
+```ts
+toDict(): Record<string, unknown>
+```
+
+#### Returns
+
+`Record`&lt;`string`, `unknown`&gt;
diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts
index 76eef118..969bb396 100644
--- a/nodejs/lancedb/index.ts
+++ b/nodejs/lancedb/index.ts
@@ -47,6 +47,12 @@ export {
   QueryExecutionOptions,
   FullTextSearchOptions,
   RecordBatchIterator,
+  FullTextQuery,
+  MatchQuery,
+  PhraseQuery,
+  BoostQuery,
+  MultiMatchQuery,
+  FullTextQueryType,
 } from "./query";
 
 export {
diff --git a/nodejs/lancedb/query.ts b/nodejs/lancedb/query.ts
index 3badae26..0db81982 100644
--- a/nodejs/lancedb/query.ts
+++ b/nodejs/lancedb/query.ts
@@ -17,6 +17,7 @@ import {
   VectorQuery as NativeVectorQuery,
 } from "./native";
 import { Reranker } from "./rerankers";
+
 export class RecordBatchIterator implements AsyncIterator<RecordBatch> {
   private promisedInner?: Promise<NativeBatchIterator>;
   private inner?: NativeBatchIterator;
@@ -152,7 +153,7 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
   }
 
   fullTextSearch(
-    query: string,
+    query: string | FullTextQuery,
     options?: Partial<FullTextSearchOptions>,
   ): this {
     let columns: string[] | null = null;
@@ -164,9 +165,18 @@ export class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery>
       }
     }
 
-    this.doCall((inner: NativeQueryType) =>
-      inner.fullTextSearch(query, columns),
-    );
+    this.doCall((inner: NativeQueryType) => {
+      if (typeof query === "string") {
+        inner.fullTextSearch({
+          query: query,
+          columns: columns,
+        });
+      } else {
+        // If query is a FullTextQuery object, convert it to a dict
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
+      }
+    });
     return this;
   }
 
@@ -718,8 +728,167 @@ export class Query extends QueryBase<NativeQuery> {
     }
   }
 
-  nearestToText(query: string, columns?: string[]): Query {
-    this.doCall((inner) => inner.fullTextSearch(query, columns));
+  nearestToText(query: string | FullTextQuery, columns?: string[]): Query {
+    this.doCall((inner) => {
+      if (typeof query === "string") {
+        inner.fullTextSearch({
+          query: query,
+          columns: columns,
+        });
+      } else {
+        const queryObj = query.toDict();
+        inner.fullTextSearch(queryObj);
+      }
+    });
     return this;
   }
 }
+
+/**
+ * Enum representing the types of full-text queries supported.
+ *
+ * - `Match`: Performs a full-text search for terms in the query string.
+ * - `MatchPhrase`: Searches for an exact phrase match in the text.
+ * - `Boost`: Boosts the relevance score of specific terms in the query.
+ * - `MultiMatch`: Searches across multiple fields for the query terms.
+ */
+export enum FullTextQueryType {
+  Match = "match",
+  MatchPhrase = "match_phrase",
+  Boost = "boost",
+  MultiMatch = "multi_match",
+}
+
+/**
+ * Represents a full-text query interface.
+ * This interface defines the structure and behavior for full-text queries,
+ * including methods to retrieve the query type and convert the query to a dictionary format.
+ */
+export interface FullTextQuery {
+  queryType(): FullTextQueryType;
+  toDict(): Record<string, unknown>;
+}
+
+export class MatchQuery implements FullTextQuery {
+  /**
+   * Creates an instance of MatchQuery.
+   *
+   * @param query - The text query to search for.
+   * @param column - The name of the column to search within.
+   * @param boost - (Optional) The boost factor to influence the relevance score of this query. Default is `1.0`.
+   * @param fuzziness - (Optional) The allowed edit distance for fuzzy matching. Default is `0`.
+   * @param maxExpansions - (Optional) The maximum number of terms to consider for fuzzy matching. Default is `50`.
+   */
+  constructor(
+    private query: string,
+    private column: string,
+    private boost: number = 1.0,
+    private fuzziness: number = 0,
+    private maxExpansions: number = 50,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.Match;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        [this.column]: {
+          query: this.query,
+          boost: this.boost,
+          fuzziness: this.fuzziness,
+          // biome-ignore lint/style/useNamingConvention: use underscore for consistency with the other APIs
+          max_expansions: this.maxExpansions,
+        },
+      },
+    };
+  }
+}
+
+export class PhraseQuery implements FullTextQuery {
+  /**
+   * Creates an instance of `PhraseQuery`.
+   *
+   * @param query - The phrase to search for in the specified column.
+   * @param column - The name of the column to search within.
+   */
+  constructor(
+    private query: string,
+    private column: string,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.MatchPhrase;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        [this.column]: this.query,
+      },
+    };
+  }
+}
+
+export class BoostQuery implements FullTextQuery {
+  /**
+   * Creates an instance of BoostQuery.
+   *
+   * @param positive - The positive query that boosts the relevance score.
+   * @param negative - The negative query that reduces the relevance score.
+   * @param negativeBoost - The factor by which the negative query reduces the score.
+   */
+  constructor(
+    private positive: FullTextQuery,
+    private negative: FullTextQuery,
+    private negativeBoost: number,
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.Boost;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        positive: this.positive.toDict(),
+        negative: this.negative.toDict(),
+        // biome-ignore lint/style/useNamingConvention: use underscore for consistency with the other APIs
+        negative_boost: this.negativeBoost,
+      },
+    };
+  }
+}
+
+export class MultiMatchQuery implements FullTextQuery {
+  /**
+   * Creates an instance of MultiMatchQuery.
+   *
+   * @param query - The text query to search for across multiple columns.
+   * @param columns - An array of column names to search within.
+   * @param boosts - (Optional) An array of boost factors corresponding to each column. Default is an array of 1.0 for each column.
+   *
+   * The `boosts` array should have the same length as `columns`. If not provided, all columns will have a default boost of 1.0.
+   * If the length of `boosts` is less than `columns`, it will be padded with 1.0s.
+   */
+  constructor(
+    private query: string,
+    private columns: string[],
+    private boosts: number[] = columns.map(() => 1.0),
+  ) {}
+
+  queryType(): FullTextQueryType {
+    return FullTextQueryType.MultiMatch;
+  }
+
+  toDict(): Record<string, unknown> {
+    return {
+      [this.queryType()]: {
+        query: this.query,
+        columns: this.columns,
+        boost: this.boosts,
+      },
+    };
+  }
+}
diff --git a/nodejs/src/query.rs b/nodejs/src/query.rs
index 1b9badeb..d945d48e 100644
--- a/nodejs/src/query.rs
+++ b/nodejs/src/query.rs
@@ -3,7 +3,7 @@
 
 use std::sync::Arc;
 
-use lancedb::index::scalar::FullTextSearchQuery;
+use lancedb::index::scalar::{FtsQuery, FullTextSearchQuery, MatchQuery, PhraseQuery};
 use lancedb::query::ExecutableQuery;
 use lancedb::query::Query as LanceDbQuery;
 use lancedb::query::QueryBase;
@@ -18,7 +18,7 @@ use crate::error::NapiErrorExt;
 use crate::iterator::RecordBatchIterator;
 use crate::rerankers::Reranker;
 use crate::rerankers::RerankerCallbacks;
-use crate::util::parse_distance_type;
+use crate::util::{parse_distance_type, parse_fts_query};
 
 #[napi]
 pub struct Query {
@@ -38,9 +38,53 @@ impl Query {
     }
 
     #[napi]
-    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
-        let query = FullTextSearchQuery::new(query).columns(columns);
+    pub fn full_text_search(&mut self, query: napi::JsUnknown) -> napi::Result<()> {
+        let query = unsafe { query.cast::<napi::JsObject>() };
+        let query = if let Some(query_text) = query.get::<_, String>("query").transpose() {
+            let mut query_text = query_text?;
+            let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(napi::Error::from_reason(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        napi::Error::from_reason(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Some(query) = query.get::<_, napi::JsObject>("query")? {
+            let query = parse_fts_query(&query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(napi::Error::from_reason(
+                "Invalid full text search query object".to_string(),
+            ));
+        };
+
         self.inner = self.inner.clone().full_text_search(query);
+        Ok(())
     }
 
     #[napi]
@@ -195,9 +239,53 @@ impl VectorQuery {
     }
 
     #[napi]
-    pub fn full_text_search(&mut self, query: String, columns: Option<Vec<String>>) {
-        let query = FullTextSearchQuery::new(query).columns(columns);
+    pub fn full_text_search(&mut self, query: napi::JsUnknown) -> napi::Result<()> {
+        let query = unsafe { query.cast::<napi::JsObject>() };
+        let query = if let Some(query_text) = query.get::<_, String>("query").transpose() {
+            let mut query_text = query_text?;
+            let columns = query.get::<_, Option<Vec<String>>>("columns")?.flatten();
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(napi::Error::from_reason(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        napi::Error::from_reason(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Some(query) = query.get::<_, napi::JsObject>("query")? {
+            let query = parse_fts_query(&query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(napi::Error::from_reason(
+                "Invalid full text search query object".to_string(),
+            ));
+        };
+
         self.inner = self.inner.clone().full_text_search(query);
+        Ok(())
     }
 
     #[napi]
diff --git a/nodejs/src/util.rs b/nodejs/src/util.rs
index a29a67f9..18959136 100644
--- 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
+        ))),
+    }
+}
diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py
index 45f2ce1e..095f3aa7 100644
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -4,7 +4,9 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
+import abc
 from concurrent.futures import ThreadPoolExecutor
+from enum import Enum
 from typing import (
     TYPE_CHECKING,
     Dict,
@@ -83,6 +85,196 @@ def ensure_vector_query(
         return val
 
 
+class FullTextQueryType(Enum):
+    MATCH = "match"
+    MATCH_PHRASE = "match_phrase"
+    BOOST = "boost"
+    MULTI_MATCH = "multi_match"
+
+
+class FullTextQuery(abc.ABC, pydantic.BaseModel):
+    @abc.abstractmethod
+    def query_type(self) -> FullTextQueryType:
+        """
+        Get the query type of the query.
+
+        Returns
+        -------
+        str
+            The type of the query.
+        """
+
+    @abc.abstractmethod
+    def to_dict(self) -> dict:
+        """
+        Convert the query to a dictionary.
+
+        Returns
+        -------
+        dict
+            The query as a dictionary.
+        """
+
+
+class MatchQuery(FullTextQuery):
+    def __init__(
+        self,
+        query: str,
+        column: str,
+        *,
+        boost: float = 1.0,
+        fuzziness: int = 0,
+        max_expansions: int = 50,
+    ):
+        """
+        Match query for full-text search.
+
+        Parameters
+        ----------
+        query : str
+            The query string to match against.
+        column : str
+            The name of the column to match against.
+        boost : float, default 1.0
+            The boost factor for the query.
+            The score of each matching document is multiplied by this value.
+        fuzziness : int, optional
+            The maximum edit distance for each term in the match query.
+            Defaults to 0 (exact match).
+            If None, fuzziness is applied automatically by the rules:
+                - 0 for terms with length <= 2
+                - 1 for terms with length <= 5
+                - 2 for terms with length > 5
+        max_expansions : int, optional
+            The maximum number of terms to consider for fuzzy matching.
+            Defaults to 50.
+        """
+        self.column = column
+        self.query = query
+        self.boost = boost
+        self.fuzziness = fuzziness
+        self.max_expansions = max_expansions
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MATCH
+
+    def to_dict(self) -> dict:
+        return {
+            "match": {
+                self.column: {
+                    "query": self.query,
+                    "boost": self.boost,
+                    "fuzziness": self.fuzziness,
+                    "max_expansions": self.max_expansions,
+                }
+            }
+        }
+
+
+class PhraseQuery(FullTextQuery):
+    def __init__(self, query: str, column: str):
+        """
+        Phrase query for full-text search.
+
+        Parameters
+        ----------
+        query : str
+            The query string to match against.
+        column : str
+            The name of the column to match against.
+        """
+        self.column = column
+        self.query = query
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MATCH_PHRASE
+
+    def to_dict(self) -> dict:
+        return {
+            "match_phrase": {
+                self.column: self.query,
+            }
+        }
+
+
+class BoostQuery(FullTextQuery):
+    def __init__(
+        self,
+        positive: FullTextQuery,
+        negative: FullTextQuery,
+        negative_boost: float,
+    ):
+        """
+        Boost query for full-text search.
+
+        Parameters
+        ----------
+        positive : dict
+            The positive query object.
+        negative : dict
+            The negative query object.
+        negative_boost : float
+            The boost factor for the negative query.
+        """
+        self.positive = positive
+        self.negative = negative
+        self.negative_boost = negative_boost
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.BOOST
+
+    def to_dict(self) -> dict:
+        return {
+            "boost": {
+                "positive": self.positive.to_dict(),
+                "negative": self.negative.to_dict(),
+                "negative_boost": self.negative_boost,
+            }
+        }
+
+
+class MultiMatchQuery(FullTextQuery):
+    def __init__(
+        self,
+        query: str,
+        columns: list[str],
+        *,
+        boosts: Optional[list[float]] = None,
+    ):
+        """
+        Multi-match query for full-text search.
+
+        Parameters
+        ----------
+        query : str | list[Query]
+            If a string, the query string to match against.
+
+        columns : list[str]
+            The list of columns to match against.
+
+        boosts : list[float], optional
+            The list of boost factors for each column. If not provided,
+            all columns will have the same boost factor.
+        """
+        self.query = query
+        self.columns = columns
+        if boosts is None:
+            boosts = [1.0] * len(columns)
+        self.boosts = boosts
+
+    def query_type(self) -> FullTextQueryType:
+        return FullTextQueryType.MULTI_MATCH
+
+    def to_dict(self) -> dict:
+        return {
+            "multi_match": {
+                "query": self.query,
+                "columns": self.columns,
+                "boost": self.boosts,
+            }
+        }
+
+
 class FullTextSearchQuery(pydantic.BaseModel):
     """A LanceDB Full Text Search Query
 
@@ -92,18 +284,13 @@ class FullTextSearchQuery(pydantic.BaseModel):
         The columns to search
 
         If None, then the table should select the column automatically.
-    query: str
-        The query to search for
-    limit: Optional[int] = None
-        The limit on the number of results to return
-    wand_factor: Optional[float] = None
-        The wand factor to use for the search
+    query: str | FullTextQuery
+        If a string, it is treated as a MatchQuery.
+        If a FullTextQuery object, it is used directly.
     """
 
     columns: Optional[List[str]] = None
-    query: str
-    limit: Optional[int] = None
-    wand_factor: Optional[float] = None
+    query: Union[str, FullTextQuery]
 
 
 class Query(pydantic.BaseModel):
@@ -712,13 +899,14 @@ class LanceQueryBuilder(ABC):
         """
         raise NotImplementedError
 
-    def text(self, text: str) -> Self:
+    def text(self, text: str | FullTextQuery) -> Self:
         """Set the text to search for.
 
         Parameters
         ----------
-        text: str
-            The text to search for.
+        text: str | FullTextQuery
+            If a string, it is treated as a MatchQuery.
+            If a FullTextQuery object, it is used directly.
 
         Returns
         -------
@@ -1084,7 +1272,7 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
     def __init__(
         self,
         table: "Table",
-        query: str,
+        query: str | FullTextQuery,
         ordering_field_name: Optional[str] = None,
         fts_columns: Optional[Union[str, List[str]]] = None,
     ):
@@ -1691,7 +1879,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
         self._vector = vector
         return self
 
-    def text(self, text: str) -> LanceHybridQueryBuilder:
+    def text(self, text: str | FullTextQuery) -> LanceHybridQueryBuilder:
         self._text = text
         return self
 
@@ -2088,7 +2276,7 @@ class AsyncQuery(AsyncQueryBase):
             )
 
     def nearest_to_text(
-        self, query: str, columns: Union[str, List[str], None] = None
+        self, query: str | FullTextQuery, columns: Union[str, List[str], None] = None
     ) -> AsyncFTSQuery:
         """
         Find the documents that are most relevant to the given text query.
@@ -2114,9 +2302,13 @@ class AsyncQuery(AsyncQueryBase):
             columns = [columns]
         if columns is None:
             columns = []
-        return AsyncFTSQuery(
-            self._inner.nearest_to_text({"query": query, "columns": columns})
-        )
+
+        if isinstance(query, str):
+            return AsyncFTSQuery(
+                self._inner.nearest_to_text({"query": query, "columns": columns})
+            )
+        # FullTextQuery object
+        return AsyncFTSQuery(self._inner.nearest_to_text(query.to_dict()))
 
 
 class AsyncFTSQuery(AsyncQueryBase):
@@ -2399,7 +2591,7 @@ class AsyncVectorQuery(AsyncQueryBase, AsyncVectorQueryBase):
         return self
 
     def nearest_to_text(
-        self, query: str, columns: Union[str, List[str], None] = None
+        self, query: str | FullTextQuery, columns: Union[str, List[str], None] = None
     ) -> AsyncHybridQuery:
         """
         Find the documents that are most relevant to the given text query,
@@ -2429,9 +2621,13 @@ class AsyncVectorQuery(AsyncQueryBase, AsyncVectorQueryBase):
             columns = [columns]
         if columns is None:
             columns = []
-        return AsyncHybridQuery(
-            self._inner.nearest_to_text({"query": query, "columns": columns})
-        )
+
+        if isinstance(query, str):
+            return AsyncHybridQuery(
+                self._inner.nearest_to_text({"query": query, "columns": columns})
+            )
+        # FullTextQuery object
+        return AsyncHybridQuery(self._inner.nearest_to_text(query.to_dict()))
 
     async def to_batches(
         self, *, max_batch_length: Optional[int] = None
diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py
index 4cf615ed..46dc9467 100644
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -3373,8 +3373,6 @@ class AsyncTable:
             async_query = async_query.nearest_to_text(
                 query.full_text_query.query, query.full_text_query.columns
             )
-            if query.full_text_query.limit is not None:
-                async_query = async_query.limit(query.full_text_query.limit)
 
         return async_query
 
diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py
index 642e2443..c4975f97 100644
--- a/python/python/tests/test_remote_db.py
+++ b/python/python/tests/test_remote_db.py
@@ -444,6 +444,16 @@ def test_query_sync_fts():
             "prefilter": True,
             "with_row_id": True,
             "version": None,
+        } or body == {
+            "full_text_query": {
+                "query": "puppy",
+                "columns": ["description", "name"],
+            },
+            "k": 42,
+            "vector": [],
+            "prefilter": True,
+            "with_row_id": True,
+            "version": None,
         }
 
         return pa.table({"id": [1, 2, 3]})
diff --git a/python/src/query.rs b/python/src/query.rs
index bf5b2756..d69f36ae 100644
--- a/python/src/query.rs
+++ b/python/src/query.rs
@@ -8,19 +8,19 @@ use arrow::array::Array;
 use arrow::array::ArrayData;
 use arrow::pyarrow::FromPyArrow;
 use arrow::pyarrow::IntoPyArrow;
-use lancedb::index::scalar::FullTextSearchQuery;
+use lancedb::index::scalar::{FtsQuery, FullTextSearchQuery, MatchQuery, PhraseQuery};
 use lancedb::query::QueryExecutionOptions;
 use lancedb::query::QueryFilter;
 use lancedb::query::{
     ExecutableQuery, Query as LanceDbQuery, QueryBase, Select, VectorQuery as LanceDbVectorQuery,
 };
 use lancedb::table::AnyQuery;
-use pyo3::exceptions::PyNotImplementedError;
 use pyo3::exceptions::PyRuntimeError;
+use pyo3::exceptions::{PyNotImplementedError, PyValueError};
 use pyo3::prelude::{PyAnyMethods, PyDictMethods};
 use pyo3::pymethods;
-use pyo3::types::PyDict;
 use pyo3::types::PyList;
+use pyo3::types::{PyDict, PyString};
 use pyo3::Bound;
 use pyo3::IntoPyObject;
 use pyo3::PyAny;
@@ -31,7 +31,7 @@ use pyo3_async_runtimes::tokio::future_into_py;
 
 use crate::arrow::RecordBatchStream;
 use crate::error::PythonErrorExt;
-use crate::util::parse_distance_type;
+use crate::util::{parse_distance_type, parse_fts_query};
 
 // Python representation of full text search parameters
 #[derive(Clone)]
@@ -46,8 +46,8 @@ pub struct PyFullTextSearchQuery {
 impl From<FullTextSearchQuery> for PyFullTextSearchQuery {
     fn from(query: FullTextSearchQuery) -> Self {
         PyFullTextSearchQuery {
-            columns: query.columns,
-            query: query.query,
+            columns: query.columns().into_iter().collect(),
+            query: query.query.query().to_owned(),
             limit: query.limit,
             wand_factor: query.wand_factor,
         }
@@ -236,22 +236,61 @@ impl Query {
     }
 
     pub fn nearest_to_text(&mut self, query: Bound<'_, PyDict>) -> PyResult<FTSQuery> {
-        let query_text = query
+        let fts_query = query
             .get_item("query")?
             .ok_or(PyErr::new::<PyRuntimeError, _>(
                 "Query text is required for nearest_to_text",
-            ))?
-            .extract::<String>()?;
-        let columns = query
-            .get_item("columns")?
-            .map(|columns| columns.extract::<Vec<String>>())
-            .transpose()?;
+            ))?;
 
-        let fts_query = FullTextSearchQuery::new(query_text).columns(columns);
+        let query = if let Ok(query_text) = fts_query.downcast::<PyString>() {
+            let mut query_text = query_text.to_string();
+            let columns = query
+                .get_item("columns")?
+                .map(|columns| columns.extract::<Vec<String>>())
+                .transpose()?;
+
+            let is_phrase =
+                query_text.len() >= 2 && query_text.starts_with('"') && query_text.ends_with('"');
+            let is_multi_match = columns.as_ref().map(|cols| cols.len() > 1).unwrap_or(false);
+
+            if is_phrase {
+                // Remove the surrounding quotes for phrase queries
+                query_text = query_text[1..query_text.len() - 1].to_string();
+            }
+
+            let query: FtsQuery = match (is_phrase, is_multi_match) {
+                (false, _) => MatchQuery::new(query_text).into(),
+                (true, false) => PhraseQuery::new(query_text).into(),
+                (true, true) => {
+                    return Err(PyValueError::new_err(
+                        "Phrase queries cannot be used with multiple columns.",
+                    ));
+                }
+            };
+            let mut query = FullTextSearchQuery::new_query(query);
+            if let Some(cols) = columns {
+                if !cols.is_empty() {
+                    query = query.with_columns(&cols).map_err(|e| {
+                        PyValueError::new_err(format!(
+                            "Failed to set full text search columns: {}",
+                            e
+                        ))
+                    })?;
+                }
+            }
+            query
+        } else if let Ok(query) = query.downcast::<PyDict>() {
+            let query = parse_fts_query(query)?;
+            FullTextSearchQuery::new_query(query)
+        } else {
+            return Err(PyValueError::new_err(
+                "query must be a string or a Query object",
+            ));
+        };
 
         Ok(FTSQuery {
-            fts_query,
             inner: self.inner.clone(),
+            fts_query: query,
         })
     }
 
@@ -386,7 +425,7 @@ impl FTSQuery {
     }
 
     pub fn get_query(&self) -> String {
-        self.fts_query.query.clone()
+        self.fts_query.query.query().to_owned()
     }
 
     pub fn to_query_request(&self) -> PyQueryRequest {
diff --git a/python/src/util.rs b/python/src/util.rs
index 84043217..225827b3 100644
--- a/python/src/util.rs
+++ b/python/src/util.rs
@@ -3,11 +3,15 @@
 
 use std::sync::Mutex;
 
+use lancedb::index::scalar::{BoostQuery, FtsQuery, MatchQuery, MultiMatchQuery, PhraseQuery};
 use lancedb::DistanceType;
+use pyo3::prelude::{PyAnyMethods, PyDictMethods, PyListMethods};
+use pyo3::types::PyDict;
 use pyo3::{
     exceptions::{PyRuntimeError, PyValueError},
     pyfunction, PyResult,
 };
+use pyo3::{Bound, PyAny};
 
 /// A wrapper around a rust builder
 ///
@@ -59,3 +63,116 @@ pub fn validate_table_name(table_name: &str) -> PyResult<()> {
     lancedb::utils::validate_table_name(table_name)
         .map_err(|e| PyValueError::new_err(e.to_string()))
 }
+
+pub fn parse_fts_query(query: &Bound<'_, PyDict>) -> PyResult<FtsQuery> {
+    let query_type = query.keys().get_item(0)?.extract::<String>()?;
+    let query_value = query
+        .get_item(&query_type)?
+        .ok_or(PyValueError::new_err(format!(
+            "Query type {} not found",
+            query_type
+        )))?;
+    let query_value = query_value.downcast::<PyDict>()?;
+
+    match query_type.as_str() {
+        "match" => {
+            let column = query_value.keys().get_item(0)?.extract::<String>()?;
+            let params = query_value
+                .get_item(&column)?
+                .ok_or(PyValueError::new_err(format!(
+                    "column {} not found",
+                    column
+                )))?;
+            let params = params.downcast::<PyDict>()?;
+
+            let query = params
+                .get_item("query")?
+                .ok_or(PyValueError::new_err("query not found"))?
+                .extract::<String>()?;
+            let boost = params
+                .get_item("boost")?
+                .ok_or(PyValueError::new_err("boost not found"))?
+                .extract::<f32>()?;
+            let fuzziness = params
+                .get_item("fuzziness")?
+                .ok_or(PyValueError::new_err("fuzziness not found"))?
+                .extract::<Option<u32>>()?;
+            let max_expansions = params
+                .get_item("max_expansions")?
+                .ok_or(PyValueError::new_err("max_expansions not found"))?
+                .extract::<usize>()?;
+
+            let query = MatchQuery::new(query)
+                .with_column(Some(column))
+                .with_boost(boost)
+                .with_fuzziness(fuzziness)
+                .with_max_expansions(max_expansions);
+            Ok(query.into())
+        }
+
+        "match_phrase" => {
+            let column = query_value.keys().get_item(0)?.extract::<String>()?;
+            let query = query_value
+                .get_item(&column)?
+                .ok_or(PyValueError::new_err(format!(
+                    "column {} not found",
+                    column
+                )))?
+                .extract::<String>()?;
+
+            let query = PhraseQuery::new(query).with_column(Some(column));
+            Ok(query.into())
+        }
+
+        "boost" => {
+            let positive: Bound<'_, PyAny> = query_value
+                .get_item("positive")?
+                .ok_or(PyValueError::new_err("positive not found"))?;
+            let positive = positive.downcast::<PyDict>()?;
+
+            let negative = query_value
+                .get_item("negative")?
+                .ok_or(PyValueError::new_err("negative not found"))?;
+            let negative = negative.downcast::<PyDict>()?;
+
+            let negative_boost = query_value
+                .get_item("negative_boost")?
+                .ok_or(PyValueError::new_err("negative_boost not found"))?
+                .extract::<f32>()?;
+
+            let positive_query = parse_fts_query(positive)?;
+            let negative_query = parse_fts_query(negative)?;
+            let query = BoostQuery::new(positive_query, negative_query, Some(negative_boost));
+
+            Ok(query.into())
+        }
+
+        "multi_match" => {
+            let query = query_value
+                .get_item("query")?
+                .ok_or(PyValueError::new_err("query not found"))?
+                .extract::<String>()?;
+
+            let columns = query_value
+                .get_item("columns")?
+                .ok_or(PyValueError::new_err("columns not found"))?
+                .extract::<Vec<String>>()?;
+
+            let boost = query_value
+                .get_item("boost")?
+                .ok_or(PyValueError::new_err("boost not found"))?
+                .extract::<Vec<f32>>()?;
+
+            let query =
+                MultiMatchQuery::try_new_with_boosts(query, columns, boost).map_err(|e| {
+                    PyValueError::new_err(format!("Error creating MultiMatchQuery: {}", e))
+                })?;
+            Ok(query.into())
+        }
+
+        _ => Err(PyValueError::new_err(format!(
+            "Unsupported query type: {}",
+            query_type
+        ))),
+    }
+}
diff --git a/rust/lancedb/src/index/scalar.rs b/rust/lancedb/src/index/scalar.rs
index 2d5c0a72..7d381961 100644
--- a/rust/lancedb/src/index/scalar.rs
+++ b/rust/lancedb/src/index/scalar.rs
@@ -80,5 +80,6 @@ impl FtsIndexBuilder {
     }
 }
 
+pub use lance_index::scalar::inverted::query::*;
 pub use lance_index::scalar::inverted::TokenizerConfig;
 pub use lance_index::scalar::FullTextSearchQuery;
diff --git a/rust/lancedb/src/query.rs b/rust/lancedb/src/query.rs
index 18a5d8ad..11b413a2 100644
--- a/rust/lancedb/src/query.rs
+++ b/rust/lancedb/src/query.rs
@@ -1056,7 +1056,7 @@ impl VectorQuery {
             })?;
 
         let mut results = reranker
-            .rerank_hybrid(&fts_query.query, vec_results, fts_results)
+            .rerank_hybrid(&fts_query.query.query(), vec_results, fts_results)
             .await?;
 
         check_reranker_result(&results)?;
diff --git a/rust/lancedb/src/remote/db.rs b/rust/lancedb/src/remote/db.rs
index 2d1f4ced..21703efb 100644
--- a/rust/lancedb/src/remote/db.rs
+++ b/rust/lancedb/src/remote/db.rs
@@ -52,6 +52,10 @@ impl ServerVersion {
     pub fn support_multivector(&self) -> bool {
         self.0 >= semver::Version::new(0, 2, 0)
     }
+
+    pub fn support_structural_fts(&self) -> bool {
+        self.0 >= semver::Version::new(0, 3, 0)
+    }
 }
 
 pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs
index 4991f968..07b62abf 100644
--- a/rust/lancedb/src/remote/table.rs
+++ b/rust/lancedb/src/remote/table.rs
@@ -155,7 +155,11 @@ impl<S: HttpSend> RemoteTable<S> {
         Ok(Box::pin(RecordBatchStreamAdapter::new(schema, stream)))
     }
 
-    fn apply_query_params(body: &mut serde_json::Value, params: &QueryRequest) -> Result<()> {
+    fn apply_query_params(
+        &self,
+        body: &mut serde_json::Value,
+        params: &QueryRequest,
+    ) -> Result<()> {
         body["prefilter"] = params.prefilter.into();
         if let Some(offset) = params.offset {
             body["offset"] = serde_json::Value::Number(serde_json::Number::from(offset));
@@ -209,10 +213,17 @@ impl<S: HttpSend> RemoteTable<S> {
                     message: "Wand factor is not yet supported in LanceDB Cloud".into(),
                 });
             }
-            body["full_text_query"] = serde_json::json!({
-                "columns": full_text_search.columns,
-                "query": full_text_search.query,
-            })
+
+            if self.server_version.support_structural_fts() {
+                body["full_text_query"] = serde_json::json!({
+                    "query": full_text_search.query.clone(),
+                });
+            } else {
+                body["full_text_query"] = serde_json::json!({
+                    "columns": full_text_search.columns().into_iter().collect::<Vec<_>>(),
+                    "query": full_text_search.query.query(),
+                })
+            }
         }
 
         Ok(())
@@ -223,7 +234,7 @@ impl<S: HttpSend> RemoteTable<S> {
         mut body: serde_json::Value,
         query: &VectorQueryRequest,
     ) -> Result<Vec<serde_json::Value>> {
-        Self::apply_query_params(&mut body, &query.base)?;
+        self.apply_query_params(&mut body, &query.base)?;
 
         // Apply general parameters, before we dispatch based on number of query vectors.
         body["distance_type"] = serde_json::json!(query.distance_type.unwrap_or_default());
@@ -346,7 +357,7 @@ impl<S: HttpSend> RemoteTable<S> {
         match query {
             AnyQuery::Query(query) => {
                 let mut body = base_body.clone();
-                Self::apply_query_params(&mut body, query)?;
+                self.apply_query_params(&mut body, query)?;
                 // Empty vector can be passed if no vector search is performed.
                 body["vector"] = serde_json::Value::Array(Vec::new());
                 Ok(vec![body])
@@ -1683,7 +1694,18 @@ mod tests {
                 "prefilter": true,
                 "version": null
             });
-            assert_eq!(body, expected_body);
+            let expected_body_2 = serde_json::json!({
+                "full_text_query": {
+                    "columns": ["b","a"],
+                    "query": "hello world",
+                },
+                "k": 10,
+                "vector": [],
+                "with_row_id": true,
+                "prefilter": true,
+                "version": null
+            });
+            assert!(body == expected_body || body == expected_body_2);
 
             let data = RecordBatch::try_new(
                 Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
@@ -1702,7 +1724,8 @@ mod tests {
             .query()
             .full_text_search(
                 FullTextSearchQuery::new("hello world".into())
-                    .columns(Some(vec!["a".into(), "b".into()])),
+                    .with_columns(&["a".into(), "b".into()])
+                    .unwrap(),
             )
             .with_row_id()
             .limit(10)