feat: support remote ivf rq (#2863)

When region is not specific in the s3 path, `resolve_s3_region` from
"lance-format" project (see [here][1]) will resolve the region by
calling `resolve_bucket_region`, which is a function from the
"arrow-rs-object-store" project expecting [virtual-hosted-style
URLs][1]. When there are dot (".") in the virtual-hosted-style URLs, it
breaks automatic region detection. See more details in the issue
description:
https://github.com/lancedb/lancedb/issues/1898#issuecomment-3690142427

This PR add early validation in connect() and connect_async() to raise a
clear error with instructions when the region is not specified for such
buckets.


[1]:
https://github.com/lance-format/lance/blob/v2.0.0-beta.4/rust/lance-io/src/object_store/providers/aws.rs#L197
[2]:
eedbf3d7d8/src/aws/resolve.rs (L52C5-L52C65)
[3]:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html#virtual-hosted-style-access

Fixes #1898

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.23.0"
+current_version = "0.23.1"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

Cargo.lock

@@ -3141,8 +3141,9 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
 
 [[package]]
 name = "fsst"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5ffdff7a2d68d22afc0657eddde3e946371ce7cfe730a3f78a5ed44ea5b1cb2e"
 dependencies = [
  "arrow-array",
  "rand 0.9.2",
@@ -4261,7 +4262,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "4b0f83760fb341a774ed326568e19f5a863af4a952def8c39f9ab92fd95b88e5"
 dependencies = [
  "equivalent",
- "hashbrown 0.15.5",
+ "hashbrown 0.16.0",
  "serde",
  "serde_core",
 ]
@@ -4478,8 +4479,9 @@ dependencies = [
 
 [[package]]
 name = "lance"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e8c439decbc304e180748e34bb6d3df729069a222e83e74e2185c38f107136e9"
 dependencies = [
  "arrow",
  "arrow-arith",
@@ -4544,8 +4546,9 @@ dependencies = [
 
 [[package]]
 name = "lance-arrow"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f4ee5508b225456d3d56998eaeef0d8fbce5ea93856df47b12a94d2e74153210"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -4563,8 +4566,9 @@ dependencies = [
 
 [[package]]
 name = "lance-bitpacking"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d1c065fb3bd4a8cc4f78428443e990d4921aa08f707b676753db740e0b402a21"
 dependencies = [
  "arrayref",
  "paste",
@@ -4573,8 +4577,9 @@ dependencies = [
 
 [[package]]
 name = "lance-core"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e8856abad92e624b75cd57a04703f6441948a239463bdf973f2ac1924b0bcdbe"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -4610,8 +4615,9 @@ dependencies = [
 
 [[package]]
 name = "lance-datafusion"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4c8835308044cef5467d7751be87fcbefc2db01c22370726a8704bd62991693f"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -4641,8 +4647,9 @@ dependencies = [
 
 [[package]]
 name = "lance-datagen"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "612de1e888bb36f6bf51196a6eb9574587fdf256b1759a4c50e643e00d5f96d0"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -4659,8 +4666,9 @@ dependencies = [
 
 [[package]]
 name = "lance-encoding"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "2b456b29b135d3c7192602e516ccade38b5483986e121895fa43cf1fdb38bf60"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -4697,8 +4705,9 @@ dependencies = [
 
 [[package]]
 name = "lance-file"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ab1538d14d5bb3735b4222b3f5aff83cfa59cc6ef7cdd3dd9139e4c77193c80b"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -4730,8 +4739,9 @@ dependencies = [
 
 [[package]]
 name = "lance-geo"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a5a69a2f3b55703d9c240ad7c5ffa2c755db69e9cf8aa05efe274a212910472d"
 dependencies = [
  "datafusion",
  "geo-types",
@@ -4742,8 +4752,9 @@ dependencies = [
 
 [[package]]
 name = "lance-index"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "0ea84613df6fa6b9168a1f056ba4f9cb73b90a1b452814c6fd4b3529bcdbfc78"
 dependencies = [
  "arrow",
  "arrow-arith",
@@ -4804,8 +4815,9 @@ dependencies = [
 
 [[package]]
 name = "lance-io"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6b3fc4c1d941fceef40a0edbd664dbef108acfc5d559bb9e7f588d0c733cbc35"
 dependencies = [
  "arrow",
  "arrow-arith",
@@ -4845,8 +4857,9 @@ dependencies = [
 
 [[package]]
 name = "lance-linalg"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b62ffbc5ce367fbf700a69de3fe0612ee1a11191a64a632888610b6bacfa0f63"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -4862,8 +4875,9 @@ dependencies = [
 
 [[package]]
 name = "lance-namespace"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "791bbcd868ee758123a34e07d320a1fb99379432b5ecc0e78d6b4686e999b629"
 dependencies = [
  "arrow",
  "async-trait",
@@ -4875,8 +4889,9 @@ dependencies = [
 
 [[package]]
 name = "lance-namespace-impls"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ee713505576f6b1988a491f77c7ca8b0cf7090a393598e63c85079fa70a53ebf"
 dependencies = [
  "arrow",
  "arrow-ipc",
@@ -4918,8 +4933,9 @@ dependencies = [
 
 [[package]]
 name = "lance-table"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6fdb2d56bfa4d1511c765fa0cc00fdaa37e5d2d1cd2f57b3c6355d9072177052"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -4958,8 +4974,9 @@ dependencies = [
 
 [[package]]
 name = "lance-testing"
-version = "1.0.1-beta.1"
+version = "1.0.1"
-source = "git+https://github.com/lance-format/lance.git?tag=v1.0.1-beta.1#9e65b2a9ca17b1c81a33183e5660f88d1b3b9ce0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "d8ccb1a4a9284435c6a8c02c8c06e7e041bece0d7f722152159353cf55dc51e3"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -4970,7 +4987,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb"
-version = "0.23.0"
+version = "0.23.1"
 dependencies = [
  "ahash",
  "anyhow",
@@ -5049,7 +5066,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-nodejs"
-version = "0.23.0"
+version = "0.23.1"
 dependencies = [
  "arrow-array",
  "arrow-ipc",
@@ -5069,7 +5086,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-python"
-version = "0.26.0"
+version = "0.26.1"
 dependencies = [
  "arrow",
  "async-trait",
@@ -6725,8 +6742,8 @@ version = "0.13.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "be769465445e8c1474e9c5dac2018218498557af32d9ed057325ec9a41ae81bf"
 dependencies = [
- "heck 0.4.1",
+ "heck 0.5.0",
- "itertools 0.12.1",
+ "itertools 0.14.0",
  "log",
  "multimap",
  "once_cell",
@@ -6746,7 +6763,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "8a56d757972c98b346a9b766e3f02746cde6dd1cd1d1d563472929fdd74bec4d"
 dependencies = [
  "anyhow",
- "itertools 0.12.1",
+ "itertools 0.14.0",
  "proc-macro2",
  "quote",
  "syn 2.0.106",
@@ -8076,7 +8093,7 @@ version = "0.8.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "c1c97747dbf44bb1ca44a561ece23508e99cb592e862f22222dcf42f51d1e451"
 dependencies = [
- "heck 0.4.1",
+ "heck 0.5.0",
  "proc-macro2",
  "quote",
  "syn 2.0.106",

Cargo.toml

@@ -15,20 +15,20 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"
 
 [workspace.dependencies]
-lance = { "version" = "=1.0.1-beta.1", default-features = false, "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=1.0.1", default-features = false }
-lance-core = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = "=1.0.1"
-lance-datagen = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = "=1.0.1"
-lance-file = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = "=1.0.1"
-lance-io = { "version" = "=1.0.1-beta.1", default-features = false, "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=1.0.1", default-features = false }
-lance-index = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = "=1.0.1"
-lance-linalg = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = "=1.0.1"
-lance-namespace = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = "=1.0.1"
-lance-namespace-impls = { "version" = "=1.0.1-beta.1", default-features = false, "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=1.0.1", default-features = false }
-lance-table = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = "=1.0.1"
-lance-testing = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = "=1.0.1"
-lance-datafusion = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = "=1.0.1"
-lance-encoding = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = "=1.0.1"
-lance-arrow = { "version" = "=1.0.1-beta.1", "tag" = "v1.0.1-beta.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = "=1.0.1"
 ahash = "0.8"
 # Note that this one does not include pyarrow
 arrow = { version = "56.2", optional = false }

ci/run_with_test_connection.sh

@@ -16,7 +16,7 @@ check_command_exists() {
 }
 
 if [[ ! -e ./lancedb ]]; then
-    if [[ -v SOPHON_READ_TOKEN ]]; then
+    if [[ x${SOPHON_READ_TOKEN} != "x" ]]; then
         INPUT="lancedb-linux-x64"
         gh release \
             --repo lancedb/lancedb \

docs/mkdocs.yml

@@ -11,7 +11,7 @@ watch:
 theme:
   name: "material"
   logo: assets/logo.png
-  favicon: assets/logo.png
+  favicon: assets/favicon.ico
   palette:
     # Palette toggle for light mode
     - scheme: lancedb
@@ -32,8 +32,6 @@ theme:
     - content.tooltips
     - toc.follow
     - navigation.top
-    - navigation.tabs
-    - navigation.tabs.sticky
     - navigation.footer
     - navigation.tracking
     - navigation.instant
@@ -115,12 +113,13 @@ markdown_extensions:
       emoji_index: !!python/name:material.extensions.emoji.twemoji
       emoji_generator: !!python/name:material.extensions.emoji.to_svg
   - markdown.extensions.toc:
-      baselevel: 1
+      toc_depth: 3
-      permalink: ""
+      permalink: true
+      permalink_title: Anchor link to this section
 
 nav:
-  - API reference:
+  - Documentation:
-      - Overview: index.md
+      - SDK Reference: index.md
       - Python: python/python.md
       - Javascript/TypeScript: js/globals.md
       - Java: java/java.md

docs/src/embeddings/available_embedding_models/multimodal_embedding_functions/voyageai_multimodal_embedding.md

@@ -0,0 +1,111 @@
+# VoyageAI Embeddings : Multimodal
+
+VoyageAI embeddings can also be used to embed both text and image data, only some of the models support image data and you can check the list
+under [https://docs.voyageai.com/docs/multimodal-embeddings](https://docs.voyageai.com/docs/multimodal-embeddings)
+
+Supported multimodal models:
+
+- `voyage-multimodal-3` - 1024 dimensions (text + images)
+- `voyage-multimodal-3.5` - Flexible dimensions (256, 512, 1024 default, 2048). Supports text, images, and video.
+
+### Video Support (voyage-multimodal-3.5)
+
+The `voyage-multimodal-3.5` model supports video input through:
+- Video URLs (`.mp4`, `.webm`, `.mov`, `.avi`, `.mkv`, `.m4v`, `.gif`)
+- Video file paths
+
+Constraints: Max 20MB video size.
+
+Supported parameters (to be passed in `create` method) are:
+
+| Parameter | Type | Default Value           | Description                               |
+|---|---|-------------------------|-------------------------------------------|
+| `name` | `str` | `"voyage-multimodal-3"` | The model ID of the VoyageAI model to use |
+| `output_dimension` | `int` | `None` | Output dimension for voyage-multimodal-3.5. Valid: 256, 512, 1024, 2048 |
+
+Usage Example:
+
+```python
+import base64
+import os
+from io import BytesIO
+
+import requests
+import lancedb
+from lancedb.pydantic import LanceModel, Vector
+from lancedb.embeddings import get_registry
+import pandas as pd
+
+os.environ['VOYAGE_API_KEY'] = 'YOUR_VOYAGE_API_KEY'
+
+db = lancedb.connect(".lancedb")
+func = get_registry().get("voyageai").create(name="voyage-multimodal-3")
+
+
+def image_to_base64(image_bytes: bytes):
+    buffered = BytesIO(image_bytes)
+    img_str = base64.b64encode(buffered.getvalue())
+    return img_str.decode("utf-8")
+
+
+class Images(LanceModel):
+    label: str
+    image_uri: str = func.SourceField()  # image uri as the source
+    image_bytes: str = func.SourceField()  # image bytes base64 encoded as the source
+    vector: Vector(func.ndims()) = func.VectorField()  # vector column
+    vec_from_bytes: Vector(func.ndims()) = func.VectorField()  # Another vector column
+
+
+if "images" in db.table_names():
+    db.drop_table("images")
+table = db.create_table("images", schema=Images)
+labels = ["cat", "cat", "dog", "dog", "horse", "horse"]
+uris = [
+    "http://farm1.staticflickr.com/53/167798175_7c7845bbbd_z.jpg",
+    "http://farm1.staticflickr.com/134/332220238_da527d8140_z.jpg",
+    "http://farm9.staticflickr.com/8387/8602747737_2e5c2a45d4_z.jpg",
+    "http://farm5.staticflickr.com/4092/5017326486_1f46057f5f_z.jpg",
+    "http://farm9.staticflickr.com/8216/8434969557_d37882c42d_z.jpg",
+    "http://farm6.staticflickr.com/5142/5835678453_4f3a4edb45_z.jpg",
+]
+# get each uri as bytes
+images_bytes = [image_to_base64(requests.get(uri).content) for uri in uris]
+table.add(
+    pd.DataFrame({"label": labels, "image_uri": uris, "image_bytes": images_bytes})
+)
+```
+Now we can search using text from both the default vector column and the custom vector column
+```python
+
+# text search
+actual = table.search("man's best friend", "vec_from_bytes").limit(1).to_pydantic(Images)[0]
+print(actual.label) # prints "dog"
+
+frombytes = (
+    table.search("man's best friend", vector_column_name="vec_from_bytes")
+    .limit(1)
+    .to_pydantic(Images)[0]
+)
+print(frombytes.label)
+
+```
+
+Because we're using a multi-modal embedding function, we can also search using images
+
+```python
+# image search
+query_image_uri = "http://farm1.staticflickr.com/200/467715466_ed4a31801f_z.jpg"
+image_bytes = requests.get(query_image_uri).content
+query_image = Image.open(BytesIO(image_bytes))
+actual = table.search(query_image, "vec_from_bytes").limit(1).to_pydantic(Images)[0]
+print(actual.label == "dog")
+
+# image search using a custom vector column
+other = (
+    table.search(query_image, vector_column_name="vec_from_bytes")
+    .limit(1)
+    .to_pydantic(Images)[0]
+)
+print(actual.label)
+
+```

docs/src/index.md

@@ -1,8 +1,12 @@
-# API Reference
+# SDK Reference
 
-This page contains the API reference for the SDKs supported by the LanceDB team.
+This site contains the API reference for the client SDKs supported by [LanceDB](https://lancedb.com).
 
 - [Python](python/python.md)
 - [JavaScript/TypeScript](js/globals.md)
 - [Java](java/java.md)
 - [Rust](https://docs.rs/lancedb/latest/lancedb/index.html)
+
+!!! info "LanceDB Documentation"
+
+    If you're looking for the full documentation of LanceDB, visit [docs.lancedb.com](https://docs.lancedb.com).

docs/src/java/java.md

@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-core</artifactId>
-    <version>0.23.0</version>
+    <version>0.23.1</version>
 </dependency>
 ```
 

docs/src/styles/extra.css

@@ -85,17 +85,26 @@
 
 /* Header gradient (only header area) */
 .md-header {
-  background: linear-gradient(90deg, #3B2E58 0%, #F0B7C1 45%, #E55A2B 100%);
+  background: linear-gradient(90deg, #e4d8f8 0%, #F0B7C1 45%, #E55A2B 100%);
   box-shadow: inset 0 1px 0 rgba(255,255,255,0.08), 0 1px 0 rgba(0,0,0,0.08);
 }
 
+/* Improve brand title contrast on the lavender side */
+.md-header__title,
+.md-header__topic,
+.md-header__title .md-ellipsis,
+.md-header__topic .md-ellipsis {
+  color: #2b1b3a;
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);
+}
+
 /* Same colors as header for tabs (that hold the text) */
 .md-tabs {
-  background: linear-gradient(90deg, #3B2E58 0%, #F0B7C1 45%, #E55A2B 100%);
+  background: linear-gradient(90deg, #e4d8f8 0%, #F0B7C1 45%, #E55A2B 100%);
 }
 
 /* Dark scheme variant */
 [data-md-color-scheme="slate"] .md-header,
 [data-md-color-scheme="slate"] .md-tabs {
-  background: linear-gradient(90deg, #3B2E58 0%, #F0B7C1 45%, #E55A2B 100%);
+  background: linear-gradient(90deg, #e4d8f8 0%, #F0B7C1 45%, #E55A2B 100%);
 }

java/lancedb-core/pom.xml

@@ -8,7 +8,7 @@
     <parent>
       <groupId>com.lancedb</groupId>
       <artifactId>lancedb-parent</artifactId>
-      <version>0.23.0-final.0</version>
+      <version>0.23.1-final.0</version>
       <relativePath>../pom.xml</relativePath>
     </parent>
 

java/pom.xml

@@ -6,7 +6,7 @@
 
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-parent</artifactId>
-    <version>0.23.0-final.0</version>
+    <version>0.23.1-final.0</version>
     <packaging>pom</packaging>
     <name>${project.artifactId}</name>
     <description>LanceDB Java SDK Parent POM</description>

nodejs/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.23.0"
+version = "0.23.1"
 license.workspace = true
 description.workspace = true
 repository.workspace = true

nodejs/npm/darwin-arm64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",

nodejs/npm/darwin-x64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-x64",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["darwin"],
 	"cpu": ["x64"],
 	"main": "lancedb.darwin-x64.node",

nodejs/npm/linux-arm64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",

nodejs/npm/linux-arm64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",

nodejs/npm/linux-x64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",

nodejs/npm/linux-x64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",

nodejs/npm/win32-arm64-msvc/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.23.0",
+  "version": "0.23.1",
   "os": [
     "win32"
   ],

nodejs/npm/win32-x64-msvc/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.23.0",
+	"version": "0.23.1",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",

nodejs/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@lancedb/lancedb",
-  "version": "0.23.0",
+  "version": "0.23.1",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@lancedb/lancedb",
-      "version": "0.23.0",
+      "version": "0.23.1",
       "cpu": [
         "x64",
         "arm64"

nodejs/package.json

@@ -11,7 +11,7 @@
     "ann"
   ],
   "private": false,
-  "version": "0.23.0",
+  "version": "0.23.1",
   "main": "dist/index.js",
   "exports": {
     ".": "./dist/index.js",

python/.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.26.1-beta.0"
+current_version = "0.26.1"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

python/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.26.1-beta.0"
+version = "0.26.1"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true

python/python/lancedb/__init__.py

@@ -13,6 +13,7 @@ __version__ = importlib.metadata.version("lancedb")
 
 from ._lancedb import connect as lancedb_connect
 from .common import URI, sanitize_uri
+from urllib.parse import urlparse
 from .db import AsyncConnection, DBConnection, LanceDBConnection
 from .io import StorageOptionsProvider
 from .remote import ClientConfig
@@ -28,6 +29,39 @@ from .namespace import (
 )
 
 
+def _check_s3_bucket_with_dots(
+    uri: str, storage_options: Optional[Dict[str, str]]
+) -> None:
+    """
+    Check if an S3 URI has a bucket name containing dots and warn if no region
+    is specified. S3 buckets with dots cannot use virtual-hosted-style URLs,
+    which breaks automatic region detection.
+
+    See: https://github.com/lancedb/lancedb/issues/1898
+    """
+    if not isinstance(uri, str) or not uri.startswith("s3://"):
+        return
+
+    parsed = urlparse(uri)
+    bucket = parsed.netloc
+
+    if "." not in bucket:
+        return
+
+    # Check if region is provided in storage_options
+    region_keys = {"region", "aws_region"}
+    has_region = storage_options and any(k in storage_options for k in region_keys)
+
+    if not has_region:
+        raise ValueError(
+            f"S3 bucket name '{bucket}' contains dots, which prevents automatic "
+            f"region detection. Please specify the region explicitly via "
+            f"storage_options={{'region': '<your-region>'}} or "
+            f"storage_options={{'aws_region': '<your-region>'}}. "
+            f"See https://github.com/lancedb/lancedb/issues/1898 for details."
+        )
+
+
 def connect(
     uri: URI,
     *,
@@ -121,9 +155,11 @@ def connect(
             storage_options=storage_options,
             **kwargs,
         )
+    _check_s3_bucket_with_dots(str(uri), storage_options)
 
     if kwargs:
         raise ValueError(f"Unknown keyword arguments: {kwargs}")
+
     return LanceDBConnection(
         uri,
         read_consistency_interval=read_consistency_interval,
@@ -211,6 +247,8 @@ async def connect_async(
     if isinstance(client_config, dict):
         client_config = ClientConfig(**client_config)
 
+    _check_s3_bucket_with_dots(str(uri), storage_options)
+
     return AsyncConnection(
         await lancedb_connect(
             sanitize_uri(uri),

python/python/lancedb/db.py

@@ -210,10 +210,8 @@ class DBConnection(EnforceOverrides):
         page_token: str, optional
             The token to use for pagination. If not present, start from the beginning.
             Typically, this token is last table name from the previous page.
-            Only supported by LanceDb Cloud.
         limit: int, default 10
             The size of the page to return.
-            Only supported by LanceDb Cloud.
 
         Returns
         -------

python/python/lancedb/embeddings/voyageai.py

@@ -2,7 +2,7 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors
 import base64
 import os
-from typing import ClassVar, TYPE_CHECKING, List, Union, Any, Generator
+from typing import ClassVar, TYPE_CHECKING, List, Union, Any, Generator, Optional
 
 from pathlib import Path
 from urllib.parse import urlparse
@@ -45,11 +45,29 @@ def is_valid_url(text):
         return False
 
 
+VIDEO_EXTENSIONS = {".mp4", ".webm", ".mov", ".avi", ".mkv", ".m4v", ".gif"}
+
+
+def is_video_url(url: str) -> bool:
+    """Check if URL points to a video file based on extension."""
+    parsed = urlparse(url)
+    path = parsed.path.lower()
+    return any(path.endswith(ext) for ext in VIDEO_EXTENSIONS)
+
+
+def is_video_path(path: Path) -> bool:
+    """Check if file path is a video file based on extension."""
+    return path.suffix.lower() in VIDEO_EXTENSIONS
+
+
 def transform_input(input_data: Union[str, bytes, Path]):
     PIL = attempt_import_or_raise("PIL", "pillow")
     if isinstance(input_data, str):
         if is_valid_url(input_data):
-            content = {"type": "image_url", "image_url": input_data}
+            if is_video_url(input_data):
+                content = {"type": "video_url", "video_url": input_data}
+            else:
+                content = {"type": "image_url", "image_url": input_data}
         else:
             content = {"type": "text", "text": input_data}
     elif isinstance(input_data, PIL.Image.Image):
@@ -70,14 +88,24 @@ def transform_input(input_data: Union[str, bytes, Path]):
             "image_base64": "data:image/jpeg;base64," + img_str,
         }
     elif isinstance(input_data, Path):
-        img = PIL.Image.open(input_data)
+        if is_video_path(input_data):
-        buffered = BytesIO()
+            # Read video file and encode as base64
-        img.save(buffered, format="JPEG")
+            with open(input_data, "rb") as f:
-        img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
+                video_bytes = f.read()
-        content = {
+            video_str = base64.b64encode(video_bytes).decode("utf-8")
-            "type": "image_base64",
+            content = {
-            "image_base64": "data:image/jpeg;base64," + img_str,
+                "type": "video_base64",
-        }
+                "video_base64": video_str,
+            }
+        else:
+            img = PIL.Image.open(input_data)
+            buffered = BytesIO()
+            img.save(buffered, format="JPEG")
+            img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
+            content = {
+                "type": "image_base64",
+                "image_base64": "data:image/jpeg;base64," + img_str,
+            }
     else:
         raise ValueError("Each input should be either str, bytes, Path or Image.")
 
@@ -91,6 +119,8 @@ def sanitize_multimodal_input(inputs: Union[TEXT, IMAGES]) -> List[Any]:
     PIL = attempt_import_or_raise("PIL", "pillow")
     if isinstance(inputs, (str, bytes, Path, PIL.Image.Image)):
         inputs = [inputs]
+    elif isinstance(inputs, list):
+        pass  # Already a list, use as-is
     elif isinstance(inputs, pa.Array):
         inputs = inputs.to_pylist()
     elif isinstance(inputs, pa.ChunkedArray):
@@ -143,11 +173,16 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
             * voyage-3
             * voyage-3-lite
             * voyage-multimodal-3
+            * voyage-multimodal-3.5
             * voyage-finance-2
             * voyage-multilingual-2
             * voyage-law-2
             * voyage-code-2
 
+    output_dimension: int, optional
+        The output dimension for models that support flexible dimensions.
+        Currently only voyage-multimodal-3.5 supports this feature.
+        Valid options: 256, 512, 1024 (default), 2048.
 
     Examples
     --------
@@ -175,7 +210,10 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
     """
 
     name: str
+    output_dimension: Optional[int] = None
     client: ClassVar = None
+    _FLEXIBLE_DIM_MODELS: ClassVar[list] = ["voyage-multimodal-3.5"]
+    _VALID_DIMENSIONS: ClassVar[list] = [256, 512, 1024, 2048]
     text_embedding_models: list = [
         "voyage-3.5",
         "voyage-3.5-lite",
@@ -186,7 +224,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
         "voyage-law-2",
         "voyage-code-2",
     ]
-    multimodal_embedding_models: list = ["voyage-multimodal-3"]
+    multimodal_embedding_models: list = ["voyage-multimodal-3", "voyage-multimodal-3.5"]
     contextual_embedding_models: list = ["voyage-context-3"]
 
     def _is_multimodal_model(self, model_name: str):
@@ -198,6 +236,17 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
         return model_name in self.contextual_embedding_models or "context" in model_name
 
     def ndims(self):
+        # Handle flexible dimension models
+        if self.name in self._FLEXIBLE_DIM_MODELS:
+            if self.output_dimension is not None:
+                if self.output_dimension not in self._VALID_DIMENSIONS:
+                    raise ValueError(
+                        f"Invalid output_dimension {self.output_dimension} "
+                        f"for {self.name}. Valid options: {self._VALID_DIMENSIONS}"
+                    )
+                return self.output_dimension
+            return 1024  # default dimension
+
         if self.name == "voyage-3-lite":
             return 512
         elif self.name == "voyage-code-2":
@@ -211,12 +260,17 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
             "voyage-finance-2",
             "voyage-multilingual-2",
             "voyage-law-2",
-            "voyage-multimodal-3",
         ]:
             return 1024
         else:
             raise ValueError(f"Model {self.name} not supported")
 
+    def _get_multimodal_kwargs(self, **kwargs):
+        """Get kwargs for multimodal embed call, including output_dimension if set."""
+        if self.name in self._FLEXIBLE_DIM_MODELS and self.output_dimension is not None:
+            kwargs["output_dimension"] = self.output_dimension
+        return kwargs
+
     def compute_query_embeddings(
         self, query: Union[str, "PIL.Image.Image"], *args, **kwargs
     ) -> List[np.ndarray]:
@@ -234,6 +288,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
         """
         client = VoyageAIEmbeddingFunction._get_client()
         if self._is_multimodal_model(self.name):
+            kwargs = self._get_multimodal_kwargs(**kwargs)
             result = client.multimodal_embed(
                 inputs=[[query]], model=self.name, input_type="query", **kwargs
             )
@@ -275,6 +330,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
             )
             if has_images:
                 # Use non-batched API for images
+                kwargs = self._get_multimodal_kwargs(**kwargs)
                 result = client.multimodal_embed(
                     inputs=sanitized, model=self.name, input_type="document", **kwargs
                 )
@@ -357,6 +413,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
             callable: A function that takes a batch of texts and returns embeddings.
         """
         if self._is_multimodal_model(self.name):
+            multimodal_kwargs = self._get_multimodal_kwargs(**kwargs)
 
             def embed_batch(batch: List[str]) -> List[np.array]:
                 batch_inputs = sanitize_multimodal_input(batch)
@@ -364,7 +421,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction):
                     inputs=batch_inputs,
                     model=self.name,
                     input_type=input_type,
-                    **kwargs,
+                    **multimodal_kwargs,
                 )
                 return result.embeddings
 

python/python/lancedb/remote/table.py

@@ -18,7 +18,17 @@ from lancedb._lancedb import (
     UpdateResult,
 )
 from lancedb.embeddings.base import EmbeddingFunctionConfig
-from lancedb.index import FTS, BTree, Bitmap, HnswSq, IvfFlat, IvfPq, IvfSq, LabelList
+from lancedb.index import (
+    FTS,
+    BTree,
+    Bitmap,
+    HnswSq,
+    IvfFlat,
+    IvfPq,
+    IvfRq,
+    IvfSq,
+    LabelList,
+)
 from lancedb.remote.db import LOOP
 import pyarrow as pa
 
@@ -265,6 +275,12 @@ class RemoteTable(Table):
                 num_sub_vectors=num_sub_vectors,
                 num_bits=num_bits,
             )
+        elif index_type == "IVF_RQ":
+            config = IvfRq(
+                distance_type=metric,
+                num_partitions=num_partitions,
+                num_bits=num_bits,
+            )
         elif index_type == "IVF_SQ":
             config = IvfSq(distance_type=metric, num_partitions=num_partitions)
         elif index_type == "IVF_HNSW_PQ":
@@ -279,7 +295,8 @@ class RemoteTable(Table):
         else:
             raise ValueError(
                 f"Unknown vector index type: {index_type}. Valid options are"
-                " 'IVF_FLAT', 'IVF_SQ', 'IVF_PQ', 'IVF_HNSW_PQ', 'IVF_HNSW_SQ'"
+                " 'IVF_FLAT', 'IVF_PQ', 'IVF_RQ', 'IVF_SQ',"
+                " 'IVF_HNSW_PQ', 'IVF_HNSW_SQ'"
             )
 
         LOOP.run(

python/python/lancedb/table.py

@@ -684,6 +684,24 @@ class Table(ABC):
         """
         raise NotImplementedError
 
+    def to_lance(self, **kwargs) -> lance.LanceDataset:
+        """Return the table as a lance.LanceDataset.
+
+        Returns
+        -------
+        lance.LanceDataset
+        """
+        raise NotImplementedError
+
+    def to_polars(self, **kwargs) -> "pl.DataFrame":
+        """Return the table as a polars.DataFrame.
+
+        Returns
+        -------
+        polars.DataFrame
+        """
+        raise NotImplementedError
+
     def create_index(
         self,
         metric="l2",

python/python/tests/test_embeddings_slow.py

@@ -613,6 +613,133 @@ def test_voyageai_multimodal_embedding_text_function():
     assert len(tbl.to_pandas()["vector"][0]) == voyageai.ndims()
 
 
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
+)
+def test_voyageai_multimodal_35_embedding_function():
+    """Test voyage-multimodal-3.5 model with text input."""
+    voyageai = (
+        get_registry()
+        .get("voyageai")
+        .create(name="voyage-multimodal-3.5", max_retries=0)
+    )
+
+    class TextModel(LanceModel):
+        text: str = voyageai.SourceField()
+        vector: Vector(voyageai.ndims()) = voyageai.VectorField()
+
+    df = pd.DataFrame({"text": ["hello world", "goodbye world"]})
+    db = lancedb.connect("~/lancedb")
+    tbl = db.create_table("test_multimodal_35", schema=TextModel, mode="overwrite")
+
+    tbl.add(df)
+    assert len(tbl.to_pandas()["vector"][0]) == voyageai.ndims()
+    assert voyageai.ndims() == 1024
+
+
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
+)
+def test_voyageai_multimodal_35_flexible_dimensions():
+    """Test voyage-multimodal-3.5 model with custom output dimension."""
+    voyageai = (
+        get_registry()
+        .get("voyageai")
+        .create(name="voyage-multimodal-3.5", output_dimension=512, max_retries=0)
+    )
+
+    class TextModel(LanceModel):
+        text: str = voyageai.SourceField()
+        vector: Vector(voyageai.ndims()) = voyageai.VectorField()
+
+    assert voyageai.ndims() == 512
+
+    df = pd.DataFrame({"text": ["hello world", "goodbye world"]})
+    db = lancedb.connect("~/lancedb")
+    tbl = db.create_table("test_multimodal_35_dim", schema=TextModel, mode="overwrite")
+
+    tbl.add(df)
+    assert len(tbl.to_pandas()["vector"][0]) == 512
+
+
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
+)
+def test_voyageai_multimodal_35_image_embedding():
+    """Test voyage-multimodal-3.5 model with image input."""
+    voyageai = (
+        get_registry()
+        .get("voyageai")
+        .create(name="voyage-multimodal-3.5", max_retries=0)
+    )
+
+    class Images(LanceModel):
+        label: str
+        image_uri: str = voyageai.SourceField()
+        vector: Vector(voyageai.ndims()) = voyageai.VectorField()
+
+    db = lancedb.connect("~/lancedb")
+    table = db.create_table(
+        "test_multimodal_35_images", schema=Images, mode="overwrite"
+    )
+    labels = ["cat", "dog"]
+    uris = [
+        "http://farm1.staticflickr.com/53/167798175_7c7845bbbd_z.jpg",
+        "http://farm9.staticflickr.com/8387/8602747737_2e5c2a45d4_z.jpg",
+    ]
+    table.add(pd.DataFrame({"label": labels, "image_uri": uris}))
+    assert len(table.to_pandas()["vector"][0]) == voyageai.ndims()
+    assert voyageai.ndims() == 1024
+
+
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
+)
+@pytest.mark.parametrize("dimension", [256, 512, 1024, 2048])
+def test_voyageai_multimodal_35_all_dimensions(dimension):
+    """Test voyage-multimodal-3.5 model with all valid output dimensions."""
+    voyageai = (
+        get_registry()
+        .get("voyageai")
+        .create(name="voyage-multimodal-3.5", output_dimension=dimension, max_retries=0)
+    )
+
+    assert voyageai.ndims() == dimension
+
+    class TextModel(LanceModel):
+        text: str = voyageai.SourceField()
+        vector: Vector(voyageai.ndims()) = voyageai.VectorField()
+
+    df = pd.DataFrame({"text": ["hello world"]})
+    db = lancedb.connect("~/lancedb")
+    tbl = db.create_table(
+        f"test_multimodal_35_dim_{dimension}", schema=TextModel, mode="overwrite"
+    )
+
+    tbl.add(df)
+    assert len(tbl.to_pandas()["vector"][0]) == dimension
+
+
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
+)
+def test_voyageai_multimodal_35_invalid_dimension():
+    """Test voyage-multimodal-3.5 model raises error for invalid output dimension."""
+    with pytest.raises(ValueError, match="Invalid output_dimension"):
+        voyageai = (
+            get_registry()
+            .get("voyageai")
+            .create(name="voyage-multimodal-3.5", output_dimension=999, max_retries=0)
+        )
+        # ndims() is where the validation happens
+        voyageai.ndims()
+
+
 @pytest.mark.slow
 @pytest.mark.skipif(
     importlib.util.find_spec("colpali_engine") is None,

python/python/tests/test_s3_bucket_dots.py

@@ -0,0 +1,68 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright The LanceDB Authors
+
+"""
+Tests for S3 bucket names containing dots.
+
+Related issue: https://github.com/lancedb/lancedb/issues/1898
+
+These tests validate the early error checking for S3 bucket names with dots.
+No actual S3 connection is made - validation happens before connection.
+"""
+
+import pytest
+import lancedb
+
+# Test URIs
+BUCKET_WITH_DOTS = "s3://my.bucket.name/path"
+BUCKET_WITH_DOTS_AND_REGION = ("s3://my.bucket.name", {"region": "us-east-1"})
+BUCKET_WITH_DOTS_AND_AWS_REGION = ("s3://my.bucket.name", {"aws_region": "us-east-1"})
+BUCKET_WITHOUT_DOTS = "s3://my-bucket/path"
+
+
+class TestS3BucketWithDotsSync:
+    """Tests for connect()."""
+
+    def test_bucket_with_dots_requires_region(self):
+        with pytest.raises(ValueError, match="contains dots"):
+            lancedb.connect(BUCKET_WITH_DOTS)
+
+    def test_bucket_with_dots_and_region_passes(self):
+        uri, opts = BUCKET_WITH_DOTS_AND_REGION
+        db = lancedb.connect(uri, storage_options=opts)
+        assert db is not None
+
+    def test_bucket_with_dots_and_aws_region_passes(self):
+        uri, opts = BUCKET_WITH_DOTS_AND_AWS_REGION
+        db = lancedb.connect(uri, storage_options=opts)
+        assert db is not None
+
+    def test_bucket_without_dots_passes(self):
+        db = lancedb.connect(BUCKET_WITHOUT_DOTS)
+        assert db is not None
+
+
+class TestS3BucketWithDotsAsync:
+    """Tests for connect_async()."""
+
+    @pytest.mark.asyncio
+    async def test_bucket_with_dots_requires_region(self):
+        with pytest.raises(ValueError, match="contains dots"):
+            await lancedb.connect_async(BUCKET_WITH_DOTS)
+
+    @pytest.mark.asyncio
+    async def test_bucket_with_dots_and_region_passes(self):
+        uri, opts = BUCKET_WITH_DOTS_AND_REGION
+        db = await lancedb.connect_async(uri, storage_options=opts)
+        assert db is not None
+
+    @pytest.mark.asyncio
+    async def test_bucket_with_dots_and_aws_region_passes(self):
+        uri, opts = BUCKET_WITH_DOTS_AND_AWS_REGION
+        db = await lancedb.connect_async(uri, storage_options=opts)
+        assert db is not None
+
+    @pytest.mark.asyncio
+    async def test_bucket_without_dots_passes(self):
+        db = await lancedb.connect_async(BUCKET_WITHOUT_DOTS)
+        assert db is not None

rust/lancedb/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.23.0"
+version = "0.23.1"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true

rust/lancedb/src/connection.rs

@@ -1325,25 +1325,27 @@ mod tests {
 
     #[tokio::test]
     async fn test_table_names() {
-        let tmp_dir = tempdir().unwrap();
+        let tc = new_test_connection().await.unwrap();
+        let db = tc.connection;
+        let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
         let mut names = Vec::with_capacity(100);
         for _ in 0..100 {
-            let mut name = uuid::Uuid::new_v4().to_string();
+            let name = uuid::Uuid::new_v4().to_string();
             names.push(name.clone());
-            name.push_str(".lance");
+            db.create_empty_table(name, schema.clone())
-            create_dir_all(tmp_dir.path().join(&name)).unwrap();
+                .execute()
+                .await
+                .unwrap();
         }
         names.sort();
-
+        let tables = db.table_names().limit(100).execute().await.unwrap();
-        let uri = tmp_dir.path().to_str().unwrap();
-        let db = connect(uri).execute().await.unwrap();
-        let tables = db.table_names().execute().await.unwrap();
 
         assert_eq!(tables, names);
 
         let tables = db
             .table_names()
             .start_after(&names[30])
+            .limit(100)
             .execute()
             .await
             .unwrap();

rust/lancedb/src/database/namespace.rs

@@ -7,7 +7,6 @@ use std::collections::HashMap;
 use std::sync::Arc;
 
 use async_trait::async_trait;
-use lance_io::object_store::{LanceNamespaceStorageOptionsProvider, StorageOptionsProvider};
 use lance_namespace::{
     models::{
         CreateEmptyTableRequest, CreateNamespaceRequest, CreateNamespaceResponse,
@@ -19,13 +18,13 @@ use lance_namespace::{
 };
 use lance_namespace_impls::ConnectBuilder;
 
-use crate::connection::ConnectRequest;
 use crate::database::ReadConsistency;
 use crate::error::{Error, Result};
+use crate::table::NativeTable;
 
 use super::{
-    listing::ListingDatabase, BaseTable, CloneTableRequest, CreateTableMode,
+    BaseTable, CloneTableRequest, CreateTableMode, CreateTableRequest as DbCreateTableRequest,
-    CreateTableRequest as DbCreateTableRequest, Database, OpenTableRequest, TableNamesRequest,
+    Database, OpenTableRequest, TableNamesRequest,
 };
 
 /// A database implementation that uses lance-namespace for table management
@@ -90,51 +89,6 @@ impl std::fmt::Display for LanceNamespaceDatabase {
     }
 }
 
-impl LanceNamespaceDatabase {
-    /// Create a temporary listing database for the given location
-    ///
-    /// Merges storage options with priority: connection < user < namespace
-    async fn create_listing_database(
-        &self,
-        location: &str,
-        table_id: Vec<String>,
-        user_storage_options: Option<&HashMap<String, String>>,
-        response_storage_options: Option<&HashMap<String, String>>,
-    ) -> Result<ListingDatabase> {
-        // Merge storage options: connection < user < namespace
-        let mut merged_storage_options = self.storage_options.clone();
-        if let Some(opts) = user_storage_options {
-            merged_storage_options.extend(opts.clone());
-        }
-        if let Some(opts) = response_storage_options {
-            merged_storage_options.extend(opts.clone());
-        }
-
-        let request = ConnectRequest {
-            uri: location.to_string(),
-            #[cfg(feature = "remote")]
-            client_config: Default::default(),
-            options: merged_storage_options,
-            read_consistency_interval: self.read_consistency_interval,
-            session: self.session.clone(),
-        };
-
-        let mut listing_db = ListingDatabase::connect_with_options(&request).await?;
-
-        // Create storage options provider only if namespace returned storage options
-        // (not just user-provided options)
-        if response_storage_options.is_some() {
-            let provider = Arc::new(LanceNamespaceStorageOptionsProvider::new(
-                self.namespace.clone(),
-                table_id,
-            )) as Arc<dyn StorageOptionsProvider>;
-            listing_db.storage_options_provider = Some(provider);
-        }
-
-        Ok(listing_db)
-    }
-}
-
 #[async_trait]
 impl Database for LanceNamespaceDatabase {
     fn uri(&self) -> &str {
@@ -195,14 +149,6 @@ impl Database for LanceNamespaceDatabase {
     }
 
     async fn create_table(&self, request: DbCreateTableRequest) -> Result<Arc<dyn BaseTable>> {
-        // Extract user-provided storage options from request
-        let user_storage_options = request
-            .write_options
-            .lance_write_params
-            .as_ref()
-            .and_then(|lwp| lwp.store_params.as_ref())
-            .and_then(|sp| sp.storage_options.as_ref());
-
         let mut table_id = request.namespace.clone();
         table_id.push(request.name.clone());
         let describe_request = DescribeTableRequest {
@@ -235,34 +181,20 @@ impl Database for LanceNamespaceDatabase {
                 }
             }
             CreateTableMode::ExistOk(_) => {
-                if let Ok(response) = describe_result {
+                if describe_result.is_ok() {
-                    let location = response.location.ok_or_else(|| Error::Runtime {
+                    let native_table = NativeTable::open_from_namespace(
-                        message: "Table location is missing from namespace response".to_string(),
+                        self.namespace.clone(),
-                    })?;
+                        &request.name,
+                        request.namespace.clone(),
+                        None,
+                        None,
+                        self.read_consistency_interval,
+                        self.server_side_query_enabled,
+                        self.session.clone(),
+                    )
+                    .await?;
 
-                    let listing_db = self
+                    return Ok(Arc::new(native_table));
-                        .create_listing_database(
-                            &location,
-                            table_id.clone(),
-                            user_storage_options,
-                            response.storage_options.as_ref(),
-                        )
-                        .await?;
-
-                    let namespace_client = self
-                        .server_side_query_enabled
-                        .then(|| self.namespace.clone());
-
-                    return listing_db
-                        .open_table(OpenTableRequest {
-                            name: request.name.clone(),
-                            namespace: request.namespace.clone(),
-                            index_cache_size: None,
-                            lance_read_params: None,
-                            location: Some(location),
-                            namespace_client,
-                        })
-                        .await;
                 }
             }
         }
@@ -294,82 +226,37 @@ impl Database for LanceNamespaceDatabase {
                 message: "Table location is missing from create_empty_table response".to_string(),
             })?;
 
-        let listing_db = self
+        let native_table = NativeTable::create_from_namespace(
-            .create_listing_database(
+            self.namespace.clone(),
-                &location,
+            &location,
-                table_id.clone(),
+            &request.name,
-                user_storage_options,
+            request.namespace.clone(),
-                create_empty_response.storage_options.as_ref(),
+            request.data,
-            )
+            None, // write_store_wrapper not used for namespace connections
-            .await?;
+            request.write_options.lance_write_params,
+            self.read_consistency_interval,
+            self.server_side_query_enabled,
+            self.session.clone(),
+        )
+        .await?;
 
-        let namespace_client = self
+        Ok(Arc::new(native_table))
-            .server_side_query_enabled
-            .then(|| self.namespace.clone());
-
-        let create_request = DbCreateTableRequest {
-            name: request.name,
-            namespace: request.namespace,
-            data: request.data,
-            mode: request.mode,
-            write_options: request.write_options,
-            location: Some(location),
-            namespace_client,
-        };
-
-        listing_db.create_table(create_request).await
     }
 
     async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>> {
-        // Extract user-provided storage options from request
+        let native_table = NativeTable::open_from_namespace(
-        let user_storage_options = request
+            self.namespace.clone(),
-            .lance_read_params
+            &request.name,
-            .as_ref()
+            request.namespace.clone(),
-            .and_then(|lrp| lrp.store_options.as_ref())
+            None, // write_store_wrapper not used for namespace connections
-            .and_then(|so| so.storage_options.as_ref());
+            request.lance_read_params,
+            self.read_consistency_interval,
+            self.server_side_query_enabled,
+            self.session.clone(),
+        )
+        .await?;
 
-        let mut table_id = request.namespace.clone();
+        Ok(Arc::new(native_table))
-        table_id.push(request.name.clone());
-
-        let describe_request = DescribeTableRequest {
-            id: Some(table_id.clone()),
-            version: None,
-        };
-        let response = self
-            .namespace
-            .describe_table(describe_request)
-            .await
-            .map_err(|e| Error::Runtime {
-                message: format!("Failed to describe table: {}", e),
-            })?;
-
-        let location = response.location.ok_or_else(|| Error::Runtime {
-            message: "Table location is missing from namespace response".to_string(),
-        })?;
-
-        let listing_db = self
-            .create_listing_database(
-                &location,
-                table_id.clone(),
-                user_storage_options,
-                response.storage_options.as_ref(),
-            )
-            .await?;
-
-        let namespace_client = self
-            .server_side_query_enabled
-            .then(|| self.namespace.clone());
-
-        let open_request = OpenTableRequest {
-            name: request.name.clone(),
-            namespace: request.namespace.clone(),
-            index_cache_size: request.index_cache_size,
-            lance_read_params: request.lance_read_params,
-            location: Some(location),
-            namespace_client,
-        };
-
-        listing_db.open_table(open_request).await
     }
 
     async fn clone_table(&self, _request: CloneTableRequest) -> Result<Arc<dyn BaseTable>> {

rust/lancedb/src/remote/table.rs

@@ -1088,6 +1088,17 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
                     body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
                 }
             }
+            Index::IvfRq(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_RQ".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+                if let Some(num_bits) = index.num_bits {
+                    body["num_bits"] = serde_json::Value::Number(num_bits.into());
+                }
+            }
             Index::BTree(_) => {
                 body[INDEX_TYPE_KEY] = serde_json::Value::String("BTREE".to_string());
             }

rust/lancedb/src/table.rs

@@ -29,7 +29,7 @@ use lance::dataset::{
 use lance::dataset::{MergeInsertBuilder as LanceMergeInsertBuilder, WhenNotMatchedBySource};
 use lance::index::vector::utils::infer_vector_dim;
 use lance::index::vector::VectorIndexParams;
-use lance::io::WrappingObjectStore;
+use lance::io::{ObjectStoreParams, WrappingObjectStore};
 use lance_datafusion::exec::{analyze_plan as lance_analyze_plan, execute_plan};
 use lance_datafusion::utils::StreamingWriteSource;
 use lance_index::scalar::{BuiltinIndexType, ScalarIndexParams};
@@ -40,6 +40,7 @@ use lance_index::vector::pq::PQBuildParams;
 use lance_index::vector::sq::builder::SQBuildParams;
 use lance_index::DatasetIndexExt;
 use lance_index::IndexType;
+use lance_io::object_store::LanceNamespaceStorageOptionsProvider;
 use lance_namespace::models::{
     QueryTableRequest as NsQueryTableRequest, QueryTableRequestFullTextQuery,
     QueryTableRequestVector, StringFtsQuery,
@@ -1611,6 +1612,105 @@ impl NativeTable {
         self
     }
 
+    /// Opens an existing Table using a namespace client.
+    ///
+    /// This method uses `DatasetBuilder::from_namespace` to open the table, which
+    /// automatically fetches the table location and storage options from the namespace.
+    /// This eliminates the need to pre-fetch and merge storage options before opening.
+    ///
+    /// # Arguments
+    ///
+    /// * `namespace_client` - The namespace client to use for fetching table metadata
+    /// * `name` - The table name
+    /// * `namespace` - The namespace path (e.g., vec!["parent", "child"])
+    /// * `write_store_wrapper` - Optional wrapper for the object store on write path
+    /// * `params` - Optional read parameters
+    /// * `read_consistency_interval` - Optional interval for read consistency
+    /// * `server_side_query_enabled` - Whether to enable server-side query execution.
+    ///   When true, the namespace_client will be stored and queries will be executed
+    ///   on the namespace server. When false, the namespace is only used for opening
+    ///   the table, and queries are executed locally.
+    /// * `session` - Optional session for object stores and caching
+    ///
+    /// # Returns
+    ///
+    /// * A [NativeTable] object.
+    #[allow(clippy::too_many_arguments)]
+    pub async fn open_from_namespace(
+        namespace_client: Arc<dyn LanceNamespace>,
+        name: &str,
+        namespace: Vec<String>,
+        write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
+        params: Option<ReadParams>,
+        read_consistency_interval: Option<std::time::Duration>,
+        server_side_query_enabled: bool,
+        session: Option<Arc<lance::session::Session>>,
+    ) -> Result<Self> {
+        let mut params = params.unwrap_or_default();
+
+        // Set the session in read params
+        if let Some(sess) = session {
+            params.session(sess);
+        }
+
+        // patch the params if we have a write store wrapper
+        let params = match write_store_wrapper.clone() {
+            Some(wrapper) => params.patch_with_store_wrapper(wrapper)?,
+            None => params,
+        };
+
+        // Build table_id from namespace + name
+        let mut table_id = namespace.clone();
+        table_id.push(name.to_string());
+
+        // Use DatasetBuilder::from_namespace which automatically fetches location
+        // and storage options from the namespace
+        let builder = DatasetBuilder::from_namespace(
+            namespace_client.clone(),
+            table_id,
+            false, // Don't ignore namespace storage options
+        )
+        .await
+        .map_err(|e| match e {
+            lance::Error::Namespace { source, .. } => Error::Runtime {
+                message: format!("Failed to get table info from namespace: {:?}", source),
+            },
+            source => Error::Lance { source },
+        })?;
+
+        let dataset = builder
+            .with_read_params(params)
+            .load()
+            .await
+            .map_err(|e| match e {
+                lance::Error::DatasetNotFound { .. } => Error::TableNotFound {
+                    name: name.to_string(),
+                    source: Box::new(e),
+                },
+                source => Error::Lance { source },
+            })?;
+
+        let uri = dataset.uri().to_string();
+        let dataset = DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval);
+        let id = Self::build_id(&namespace, name);
+
+        let stored_namespace_client = if server_side_query_enabled {
+            Some(namespace_client)
+        } else {
+            None
+        };
+
+        Ok(Self {
+            name: name.to_string(),
+            namespace,
+            id,
+            uri,
+            dataset,
+            read_consistency_interval,
+            namespace_client: stored_namespace_client,
+        })
+    }
+
     fn get_table_name(uri: &str) -> Result<String> {
         let path = Path::new(uri);
         let name = path
@@ -1722,6 +1822,102 @@ impl NativeTable {
         .await
     }
 
+    /// Creates a new Table using a namespace client for storage options.
+    ///
+    /// This method sets up a `StorageOptionsProvider` from the namespace client,
+    /// enabling automatic credential refresh for cloud storage. The namespace
+    /// is used for:
+    /// 1. Setting up storage options provider for credential vending
+    /// 2. Optionally enabling server-side query execution
+    ///
+    /// # Arguments
+    ///
+    /// * `namespace_client` - The namespace client to use for storage options
+    /// * `uri` - The URI to the table (obtained from create_empty_table response)
+    /// * `name` - The table name
+    /// * `namespace` - The namespace path (e.g., vec!["parent", "child"])
+    /// * `batches` - RecordBatch to be saved in the database
+    /// * `write_store_wrapper` - Optional wrapper for the object store on write path
+    /// * `params` - Optional write parameters
+    /// * `read_consistency_interval` - Optional interval for read consistency
+    /// * `server_side_query_enabled` - Whether to enable server-side query execution
+    ///
+    /// # Returns
+    ///
+    /// * A [NativeTable] object.
+    #[allow(clippy::too_many_arguments)]
+    pub async fn create_from_namespace(
+        namespace_client: Arc<dyn LanceNamespace>,
+        uri: &str,
+        name: &str,
+        namespace: Vec<String>,
+        batches: impl StreamingWriteSource,
+        write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
+        params: Option<WriteParams>,
+        read_consistency_interval: Option<std::time::Duration>,
+        server_side_query_enabled: bool,
+        session: Option<Arc<lance::session::Session>>,
+    ) -> Result<Self> {
+        // Build table_id from namespace + name for the storage options provider
+        let mut table_id = namespace.clone();
+        table_id.push(name.to_string());
+
+        // Set up storage options provider from namespace
+        let storage_options_provider = Arc::new(LanceNamespaceStorageOptionsProvider::new(
+            namespace_client.clone(),
+            table_id,
+        ));
+
+        // Start with provided params or defaults
+        let mut params = params.unwrap_or_default();
+
+        // Set the session in write params
+        if let Some(sess) = session {
+            params.session = Some(sess);
+        }
+
+        // Ensure store_params exists and set the storage options provider
+        let store_params = params
+            .store_params
+            .get_or_insert_with(ObjectStoreParams::default);
+        store_params.storage_options_provider = Some(storage_options_provider);
+
+        // Patch the params if we have a write store wrapper
+        let params = match write_store_wrapper.clone() {
+            Some(wrapper) => params.patch_with_store_wrapper(wrapper)?,
+            None => params,
+        };
+
+        let insert_builder = InsertBuilder::new(uri).with_params(&params);
+        let dataset = insert_builder
+            .execute_stream(batches)
+            .await
+            .map_err(|e| match e {
+                lance::Error::DatasetAlreadyExists { .. } => Error::TableAlreadyExists {
+                    name: name.to_string(),
+                },
+                source => Error::Lance { source },
+            })?;
+
+        let id = Self::build_id(&namespace, name);
+
+        let stored_namespace_client = if server_side_query_enabled {
+            Some(namespace_client)
+        } else {
+            None
+        };
+
+        Ok(Self {
+            name: name.to_string(),
+            namespace,
+            id,
+            uri: uri.to_string(),
+            dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
+            read_consistency_interval,
+            namespace_client: stored_namespace_client,
+        })
+    }
+
     async fn optimize_indices(&self, options: &OptimizeOptions) -> Result<()> {
         info!("LanceDB: optimizing indices: {:?}", options);
         self.dataset

rust/lancedb/src/test_utils/connection.rs

@@ -5,16 +5,19 @@
 
 use regex::Regex;
 use std::env;
-use std::io::{BufRead, BufReader};
+use std::process::Stdio;
-use std::process::{Child, ChildStdout, Command, Stdio};
+use tokio::io::{AsyncBufReadExt, BufReader};
+use tokio::process::{Child, ChildStdout, Command};
+use tokio::sync::mpsc;
 
 use crate::{connect, Connection};
-use anyhow::{bail, Result};
+use anyhow::{anyhow, bail, Result};
 use tempfile::{tempdir, TempDir};
 
 pub struct TestConnection {
     pub uri: String,
     pub connection: Connection,
+    pub is_remote: bool,
     _temp_dir: Option<TempDir>,
     _process: Option<TestProcess>,
 }
@@ -37,6 +40,56 @@ pub async fn new_test_connection() -> Result<TestConnection> {
     }
 }
 
+async fn spawn_stdout_reader(
+    mut stdout: BufReader<ChildStdout>,
+    port_sender: mpsc::Sender<anyhow::Result<String>>,
+) -> tokio::task::JoinHandle<()> {
+    let print_stdout = env::var("PRINT_LANCEDB_TEST_CONNECTION_SCRIPT_OUTPUT").is_ok();
+    tokio::spawn(async move {
+        let mut line = String::new();
+        let re = Regex::new(r"Query node now listening on 0.0.0.0:(.*)").unwrap();
+        loop {
+            line.clear();
+            let result = stdout.read_line(&mut line).await;
+            if let Err(err) = result {
+                port_sender
+                    .send(Err(anyhow!(
+                        "error while reading from process output: {}",
+                        err
+                    )))
+                    .await
+                    .unwrap();
+                return;
+            } else if result.unwrap() == 0 {
+                port_sender
+                    .send(Err(anyhow!(
+                        " hit EOF before reading port from process output."
+                    )))
+                    .await
+                    .unwrap();
+                return;
+            }
+            if re.is_match(&line) {
+                let caps = re.captures(&line).unwrap();
+                port_sender.send(Ok(caps[1].to_string())).await.unwrap();
+                break;
+            }
+        }
+        loop {
+            line.clear();
+            match stdout.read_line(&mut line).await {
+                Err(_) => return,
+                Ok(0) => return,
+                Ok(_size) => {
+                    if print_stdout {
+                        print!("{}", line);
+                    }
+                }
+            }
+        }
+    })
+}
+
 async fn new_remote_connection(script_path: &str) -> Result<TestConnection> {
     let temp_dir = tempdir()?;
     let data_path = temp_dir.path().to_str().unwrap().to_string();
@@ -57,38 +110,25 @@ async fn new_remote_connection(script_path: &str) -> Result<TestConnection> {
         child: child_result.unwrap(),
     };
     let stdout = BufReader::new(process.child.stdout.take().unwrap());
-    let port = read_process_port(stdout)?;
+    let (port_sender, mut port_receiver) = mpsc::channel(5);
+    let _reader = spawn_stdout_reader(stdout, port_sender).await;
+    let port = match port_receiver.recv().await {
+        None => bail!("Unable to determine the port number used by the phalanx process we spawned, because the reader thread was closed too soon."),
+        Some(Err(err)) => bail!("Unable to determine the port number used by the phalanx process we spawned, because of an error, {}", err),
+        Some(Ok(port)) => port,
+    };
     let uri = "db://test";
     let host_override = format!("http://localhost:{}", port);
     let connection = create_new_connection(uri, &host_override).await?;
     Ok(TestConnection {
         uri: uri.to_string(),
         connection,
+        is_remote: true,
         _temp_dir: Some(temp_dir),
         _process: Some(process),
     })
 }
 
-fn read_process_port(mut stdout: BufReader<ChildStdout>) -> Result<String> {
-    let mut line = String::new();
-    let re = Regex::new(r"Query node now listening on 0.0.0.0:(.*)").unwrap();
-    loop {
-        let result = stdout.read_line(&mut line);
-        if let Err(err) = result {
-            bail!(format!(
-                "read_process_port: error while reading from process output: {}",
-                err
-            ));
-        } else if result.unwrap() == 0 {
-            bail!("read_process_port: hit EOF before reading port from process output.");
-        }
-        if re.is_match(&line) {
-            let caps = re.captures(&line).unwrap();
-            return Ok(caps[1].to_string());
-        }
-    }
-}
-
 #[cfg(feature = "remote")]
 async fn create_new_connection(uri: &str, host_override: &str) -> crate::error::Result<Connection> {
     connect(uri)
@@ -114,6 +154,7 @@ async fn new_local_connection() -> Result<TestConnection> {
     Ok(TestConnection {
         uri: uri.to_string(),
         connection,
+        is_remote: false,
         _temp_dir: Some(temp_dir),
         _process: None,
     })