mirror of
https://github.com/lancedb/lancedb.git
synced 2025-12-25 06:19:57 +00:00
Compare commits
10 Commits
python-v0.
...
rmeng/upgr
| Author | SHA1 | Date | |
|---|---|---|---|
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91f980ec5d | ||
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71323a064a | ||
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df48454b70 | ||
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6603414885 | ||
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c256f6c502 | ||
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cc03f90379 | ||
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975da09b02 | ||
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c32e17b497 | ||
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0528abdf97 |
@@ -1,5 +1,5 @@
|
||||
[bumpversion]
|
||||
current_version = 0.4.17
|
||||
current_version = 0.4.18
|
||||
commit = True
|
||||
message = Bump version: {current_version} → {new_version}
|
||||
tag = True
|
||||
|
||||
10
Cargo.toml
10
Cargo.toml
@@ -14,10 +14,10 @@ keywords = ["lancedb", "lance", "database", "vector", "search"]
|
||||
categories = ["database-implementations"]
|
||||
|
||||
[workspace.dependencies]
|
||||
lance = { "version" = "=0.10.16", "features" = ["dynamodb"] }
|
||||
lance-index = { "version" = "=0.10.16" }
|
||||
lance-linalg = { "version" = "=0.10.16" }
|
||||
lance-testing = { "version" = "=0.10.16" }
|
||||
lance = { "version" = "=0.10.18", "features" = ["dynamodb"] }
|
||||
lance-index = { "version" = "=0.10.18" }
|
||||
lance-linalg = { "version" = "=0.10.18" }
|
||||
lance-testing = { "version" = "=0.10.18" }
|
||||
# Note that this one does not include pyarrow
|
||||
arrow = { version = "51.0", optional = false }
|
||||
arrow-array = "51.0"
|
||||
@@ -29,7 +29,7 @@ arrow-arith = "51.0"
|
||||
arrow-cast = "51.0"
|
||||
async-trait = "0"
|
||||
chrono = "0.4.35"
|
||||
half = { "version" = "=2.3.1", default-features = false, features = [
|
||||
half = { "version" = "2.4.1", default-features = false, features = [
|
||||
"num-traits",
|
||||
] }
|
||||
futures = "0"
|
||||
|
||||
@@ -46,7 +46,7 @@ For this purpose, LanceDB introduces an **embedding functions API**, that allow
|
||||
|
||||
```python
|
||||
class Pets(LanceModel):
|
||||
vector: Vector(clip.ndims) = clip.VectorField()
|
||||
vector: Vector(clip.ndims()) = clip.VectorField()
|
||||
image_uri: str = clip.SourceField()
|
||||
```
|
||||
|
||||
@@ -149,7 +149,7 @@ You can also use the integration for adding utility operations in the schema. Fo
|
||||
|
||||
```python
|
||||
class Pets(LanceModel):
|
||||
vector: Vector(clip.ndims) = clip.VectorField()
|
||||
vector: Vector(clip.ndims()) = clip.VectorField()
|
||||
image_uri: str = clip.SourceField()
|
||||
|
||||
@property
|
||||
@@ -166,4 +166,4 @@ rs[2].image
|
||||

|
||||
|
||||
Now that you have the basic idea about LanceDB embedding functions and the embedding function registry,
|
||||
let's dive deeper into defining your own [custom functions](./custom_embedding_function.md).
|
||||
let's dive deeper into defining your own [custom functions](./custom_embedding_function.md).
|
||||
|
||||
74
node/package-lock.json
generated
74
node/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "vectordb",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
@@ -52,11 +52,11 @@
|
||||
"uuid": "^9.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/vectordb-darwin-arm64": "0.4.17",
|
||||
"@lancedb/vectordb-darwin-x64": "0.4.17",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.4.17",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.4.17",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.4.17"
|
||||
"@lancedb/vectordb-darwin-arm64": "0.4.18",
|
||||
"@lancedb/vectordb-darwin-x64": "0.4.18",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.4.18",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.4.18",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.4.18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@apache-arrow/ts": "^14.0.2",
|
||||
@@ -333,6 +333,66 @@
|
||||
"@jridgewell/sourcemap-codec": "^1.4.10"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-darwin-arm64": {
|
||||
"version": "0.4.18",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.4.18.tgz",
|
||||
"integrity": "sha512-CzJbkBKz30U0ocFFhRLV3ZPRZh3MtAkOmFr76jxRWeXLPM/JcLvhGOAnW9h/XdTONidHOfHNZnUtrjeWDMCyig==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-darwin-x64": {
|
||||
"version": "0.4.18",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.4.18.tgz",
|
||||
"integrity": "sha512-wyqpfdDBE5g+8SLN/6E/r37smt5i+4H3MVNZ2GZfvcMAd4xIZTwGAf5Mfx8j15t3mvKMiBEZPTvYQfFde2bQmA==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-arm64-gnu": {
|
||||
"version": "0.4.18",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.4.18.tgz",
|
||||
"integrity": "sha512-OfCjTrwfdmT9Qh5r92AUj7Wosvl8mSYADS6rp+ofNoht9nq1UqtlyrCot1RhuF5w6UW1aLCJXycXY0qHh1WUPw==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-x64-gnu": {
|
||||
"version": "0.4.18",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.4.18.tgz",
|
||||
"integrity": "sha512-uJiCminsZQ6oUvVYEElgN+/Lqd9646cJUWCbfiFSnt10PCj/kFBXWjKEuCxfG/A0bp6DTm5mU5RYWDfY9v3T0Q==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-win32-x64-msvc": {
|
||||
"version": "0.4.18",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.4.18.tgz",
|
||||
"integrity": "sha512-T9//HlvtNDHEfbIjz0ExLQFbqKFHRdaKf3jpFECt5oJdU0VCXe5460DIMvp6w/SDf24pb1UvOjZnmPLvX4yPNg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
]
|
||||
},
|
||||
"node_modules/@neon-rs/cli": {
|
||||
"version": "0.0.160",
|
||||
"resolved": "https://registry.npmjs.org/@neon-rs/cli/-/cli-0.0.160.tgz",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"description": " Serverless, low-latency vector database for AI applications",
|
||||
"main": "dist/index.js",
|
||||
"types": "dist/index.d.ts",
|
||||
@@ -88,10 +88,10 @@
|
||||
}
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/vectordb-darwin-arm64": "0.4.17",
|
||||
"@lancedb/vectordb-darwin-x64": "0.4.17",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.4.17",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.4.17",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.4.17"
|
||||
"@lancedb/vectordb-darwin-arm64": "0.4.18",
|
||||
"@lancedb/vectordb-darwin-x64": "0.4.18",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.4.18",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.4.18",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.4.18"
|
||||
}
|
||||
}
|
||||
|
||||
1
nodejs/.gitignore
vendored
Normal file
1
nodejs/.gitignore
vendored
Normal file
@@ -0,0 +1 @@
|
||||
yarn.lock
|
||||
@@ -169,17 +169,20 @@ export class Table {
|
||||
* // If the column has a vector (fixed size list) data type then
|
||||
* // an IvfPq vector index will be created.
|
||||
* const table = await conn.openTable("my_table");
|
||||
* await table.createIndex(["vector"]);
|
||||
* await table.createIndex("vector");
|
||||
* @example
|
||||
* // For advanced control over vector index creation you can specify
|
||||
* // the index type and options.
|
||||
* const table = await conn.openTable("my_table");
|
||||
* await table.createIndex(["vector"], I)
|
||||
* .ivf_pq({ num_partitions: 128, num_sub_vectors: 16 })
|
||||
* .build();
|
||||
* await table.createIndex("vector", {
|
||||
* config: lancedb.Index.ivfPq({
|
||||
* numPartitions: 128,
|
||||
* numSubVectors: 16,
|
||||
* }),
|
||||
* });
|
||||
* @example
|
||||
* // Or create a Scalar index
|
||||
* await table.createIndex("my_float_col").build();
|
||||
* await table.createIndex("my_float_col");
|
||||
*/
|
||||
async createIndex(column: string, options?: Partial<IndexOptions>) {
|
||||
// Bit of a hack to get around the fact that TS has no package-scope.
|
||||
@@ -197,8 +200,7 @@ export class Table {
|
||||
* vector similarity, sorting, and more.
|
||||
*
|
||||
* Note: By default, all columns are returned. For best performance, you should
|
||||
* only fetch the columns you need. See [`Query::select_with_projection`] for
|
||||
* more details.
|
||||
* only fetch the columns you need.
|
||||
*
|
||||
* When appropriate, various indices and statistics based pruning will be used to
|
||||
* accelerate the query.
|
||||
@@ -206,10 +208,13 @@ export class Table {
|
||||
* // SQL-style filtering
|
||||
* //
|
||||
* // This query will return up to 1000 rows whose value in the `id` column
|
||||
* // is greater than 5. LanceDb supports a broad set of filtering functions.
|
||||
* for await (const batch of table.query()
|
||||
* .filter("id > 1").select(["id"]).limit(20)) {
|
||||
* console.log(batch);
|
||||
* // is greater than 5. LanceDb supports a broad set of filtering functions.
|
||||
* for await (const batch of table
|
||||
* .query()
|
||||
* .where("id > 1")
|
||||
* .select(["id"])
|
||||
* .limit(20)) {
|
||||
* console.log(batch);
|
||||
* }
|
||||
* @example
|
||||
* // Vector Similarity Search
|
||||
@@ -218,13 +223,14 @@ export class Table {
|
||||
* // closest to the query vector [1.0, 2.0, 3.0]. If an index has been created
|
||||
* // on the "vector" column then this will perform an ANN search.
|
||||
* //
|
||||
* // The `refine_factor` and `nprobes` methods are used to control the recall /
|
||||
* // The `refineFactor` and `nprobes` methods are used to control the recall /
|
||||
* // latency tradeoff of the search.
|
||||
* for await (const batch of table.query()
|
||||
* .nearestTo([1, 2, 3])
|
||||
* .refineFactor(5).nprobe(10)
|
||||
* .limit(10)) {
|
||||
* console.log(batch);
|
||||
* for await (const batch of table
|
||||
* .query()
|
||||
* .where("id > 1")
|
||||
* .select(["id"])
|
||||
* .limit(20)) {
|
||||
* console.log(batch);
|
||||
* }
|
||||
* @example
|
||||
* // Scan the full dataset
|
||||
@@ -286,43 +292,45 @@ export class Table {
|
||||
await this.inner.dropColumns(columnNames);
|
||||
}
|
||||
|
||||
/**
|
||||
* Retrieve the version of the table
|
||||
*
|
||||
* LanceDb supports versioning. Every operation that modifies the table increases
|
||||
* version. As long as a version hasn't been deleted you can `[Self::checkout]` that
|
||||
* version to view the data at that point. In addition, you can `[Self::restore]` the
|
||||
* version to replace the current table with a previous version.
|
||||
*/
|
||||
/** Retrieve the version of the table */
|
||||
async version(): Promise<number> {
|
||||
return await this.inner.version();
|
||||
}
|
||||
|
||||
/**
|
||||
* Checks out a specific version of the Table
|
||||
* Checks out a specific version of the table _This is an in-place operation._
|
||||
*
|
||||
* Any read operation on the table will now access the data at the checked out version.
|
||||
* As a consequence, calling this method will disable any read consistency interval
|
||||
* that was previously set.
|
||||
* This allows viewing previous versions of the table. If you wish to
|
||||
* keep writing to the dataset starting from an old version, then use
|
||||
* the `restore` function.
|
||||
*
|
||||
* This is a read-only operation that turns the table into a sort of "view"
|
||||
* or "detached head". Other table instances will not be affected. To make the change
|
||||
* permanent you can use the `[Self::restore]` method.
|
||||
* Calling this method will set the table into time-travel mode. If you
|
||||
* wish to return to standard mode, call `checkoutLatest`.
|
||||
* @param {number} version The version to checkout
|
||||
* @example
|
||||
* ```typescript
|
||||
* import * as lancedb from "@lancedb/lancedb"
|
||||
* const db = await lancedb.connect("./.lancedb");
|
||||
* const table = await db.createTable("my_table", [
|
||||
* { vector: [1.1, 0.9], type: "vector" },
|
||||
* ]);
|
||||
*
|
||||
* Any operation that modifies the table will fail while the table is in a checked
|
||||
* out state.
|
||||
*
|
||||
* To return the table to a normal state use `[Self::checkout_latest]`
|
||||
* console.log(await table.version()); // 1
|
||||
* console.log(table.display());
|
||||
* await table.add([{ vector: [0.5, 0.2], type: "vector" }]);
|
||||
* await table.checkout(1);
|
||||
* console.log(await table.version()); // 2
|
||||
* ```
|
||||
*/
|
||||
async checkout(version: number): Promise<void> {
|
||||
await this.inner.checkout(version);
|
||||
}
|
||||
|
||||
/**
|
||||
* Ensures the table is pointing at the latest version
|
||||
* Checkout the latest version of the table. _This is an in-place operation._
|
||||
*
|
||||
* This can be used to manually update a table when the read_consistency_interval is None
|
||||
* It can also be used to undo a `[Self::checkout]` operation
|
||||
* The table will be set back into standard mode, and will track the latest
|
||||
* version of the table.
|
||||
*/
|
||||
async checkoutLatest(): Promise<void> {
|
||||
await this.inner.checkoutLatest();
|
||||
@@ -344,9 +352,7 @@ export class Table {
|
||||
await this.inner.restore();
|
||||
}
|
||||
|
||||
/**
|
||||
* List all indices that have been created with Self::create_index
|
||||
*/
|
||||
/** List all indices that have been created with {@link Table.createIndex} */
|
||||
async listIndices(): Promise<IndexConfig[]> {
|
||||
return await this.inner.listIndices();
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-arm64",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-x64",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-gnu",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-gnu",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
|
||||
86
nodejs/package-lock.json
generated
86
nodejs/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.4.16",
|
||||
"version": "0.4.18",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.4.16",
|
||||
"version": "0.4.18",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
@@ -45,13 +45,6 @@
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/lancedb-darwin-arm64": "0.4.16",
|
||||
"@lancedb/lancedb-darwin-x64": "0.4.16",
|
||||
"@lancedb/lancedb-linux-arm64-gnu": "0.4.16",
|
||||
"@lancedb/lancedb-linux-x64-gnu": "0.4.16",
|
||||
"@lancedb/lancedb-win32-x64-msvc": "0.4.16"
|
||||
}
|
||||
},
|
||||
"node_modules/@75lb/deep-merge": {
|
||||
@@ -2221,81 +2214,6 @@
|
||||
"@jridgewell/sourcemap-codec": "^1.4.14"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/lancedb-darwin-arm64": {
|
||||
"version": "0.4.16",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/lancedb-darwin-arm64/-/lancedb-darwin-arm64-0.4.16.tgz",
|
||||
"integrity": "sha512-CV65ouIDQbBSNtdHbQSr2fqXflOuqud1cfweUS+EiK7eEOEYl7nO2oiFYO49Jy76MEwZxiP99hW825aCqIQJqg==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/lancedb-darwin-x64": {
|
||||
"version": "0.4.16",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/lancedb-darwin-x64/-/lancedb-darwin-x64-0.4.16.tgz",
|
||||
"integrity": "sha512-1CwIYCNdbFmV7fvqM+qUxbYgwxx0slcCV48PC/I19Ejitgtzw/NJiWDCvONhaLqG85lWNZm1xYceRpVv7b8seQ==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/lancedb-linux-arm64-gnu": {
|
||||
"version": "0.4.16",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/lancedb-linux-arm64-gnu/-/lancedb-linux-arm64-gnu-0.4.16.tgz",
|
||||
"integrity": "sha512-CzLEbzoHKS6jV0k52YnvsiVNx0VzLp1Vz/zmbHI6HmB/XbS67qDO93Jk71MDmXq3JDw0FKFCw9ghkg+6YWq7ZA==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/lancedb-linux-x64-gnu": {
|
||||
"version": "0.4.16",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/lancedb-linux-x64-gnu/-/lancedb-linux-x64-gnu-0.4.16.tgz",
|
||||
"integrity": "sha512-nKChybybi8uA0AFRHBFm7Fz3VXcRm8riv5Gs7xQsrsCtYxxf4DT/0BfUvQ0xKbwNJa+fawHRxi9BOQewdj49fg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/lancedb-win32-x64-msvc": {
|
||||
"version": "0.4.16",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/lancedb-win32-x64-msvc/-/lancedb-win32-x64-msvc-0.4.16.tgz",
|
||||
"integrity": "sha512-KMeBPMpv2g+ZMVsHVibed7BydrBlxje1qS0bZTDrLw9BtZOk6XH2lh1mCDnCJI6sbAscUKNA6fDCdquhQPHL7w==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
"engines": {
|
||||
"node": ">= 18"
|
||||
}
|
||||
},
|
||||
"node_modules/@napi-rs/cli": {
|
||||
"version": "2.18.0",
|
||||
"resolved": "https://registry.npmjs.org/@napi-rs/cli/-/cli-2.18.0.tgz",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.4.17",
|
||||
"version": "0.4.18",
|
||||
"main": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"napi": {
|
||||
@@ -62,20 +62,14 @@
|
||||
"build-release": "npm run build:release && tsc -b && shx cp lancedb/native.d.ts dist/native.d.ts",
|
||||
"chkformat": "prettier . --check",
|
||||
"docs": "typedoc --plugin typedoc-plugin-markdown --out ../docs/src/js lancedb/index.ts",
|
||||
"lint": "eslint lancedb && eslint __test__",
|
||||
"lint": "eslint lancedb __test__",
|
||||
"lint-fix": "eslint lancedb __test__ --fix",
|
||||
"prepublishOnly": "napi prepublish -t npm",
|
||||
"test": "npm run build && jest --verbose",
|
||||
"integration": "S3_TEST=1 npm run test",
|
||||
"universal": "napi universal",
|
||||
"version": "napi version"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/lancedb-darwin-arm64": "0.4.17",
|
||||
"@lancedb/lancedb-darwin-x64": "0.4.17",
|
||||
"@lancedb/lancedb-linux-arm64-gnu": "0.4.17",
|
||||
"@lancedb/lancedb-linux-x64-gnu": "0.4.17",
|
||||
"@lancedb/lancedb-win32-x64-msvc": "0.4.17"
|
||||
},
|
||||
"dependencies": {
|
||||
"openai": "^4.29.2",
|
||||
"apache-arrow": "^15.0.0"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-node"
|
||||
version = "0.4.17"
|
||||
version = "0.4.18"
|
||||
description = "Serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
edition.workspace = true
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb"
|
||||
version = "0.4.17"
|
||||
version = "0.4.18"
|
||||
edition.workspace = true
|
||||
description = "LanceDB: A serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
|
||||
@@ -87,14 +87,16 @@ impl ConnectionInternal for RemoteDatabase {
|
||||
.await
|
||||
.unwrap()?;
|
||||
|
||||
self.client
|
||||
.post(&format!("/v1/table/{}/create", options.name))
|
||||
let rsp = self
|
||||
.client
|
||||
.post(&format!("/v1/table/{}/create/", options.name))
|
||||
.body(data_buffer)
|
||||
.header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE)
|
||||
// This is currently expected by LanceDb cloud but will be removed soon.
|
||||
.header("x-request-id", "na")
|
||||
.send()
|
||||
.await?;
|
||||
self.client.check_response(rsp).await?;
|
||||
|
||||
Ok(Table::new(Arc::new(RemoteTable::new(
|
||||
self.client.clone(),
|
||||
|
||||
Reference in New Issue
Block a user