JavaScript / Node.js library for LanceDB

- Core rust library - ffi bridge that exposes rust functionality to javascript - npm package that provides a TypeScript / JavaScript library - limitations: it only supports reading for now
2026-01-03 10:22:56 +00:00 · 2023-05-10 12:51:49 -07:00
parent 636a6d3761
commit 38e6efc185
28 changed files with 12343 additions and 14 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -18,3 +18,13 @@ python/dist
 notebooks/.ipynb_checkpoints

 **/.hypothesis
+
+## Javascript
+index.node
+**/node_modules
+**/.DS_Store
+node/dist
+
+## Rust
+target
+
--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -0,0 +1,5 @@
+[workspace]
+members = [
+    "rust/vectordb",
+    "rust/ffi/node"
+]
--- a/node/.eslintrc.js
+++ b/node/.eslintrc.js
@@ -0,0 +1,16 @@
+module.exports = {
+  env: {
+    browser: true,
+    es2021: true
+  },
+  extends: 'standard-with-typescript',
+  overrides: [
+  ],
+  parserOptions: {
+    project: './tsconfig.json',
+    ecmaVersion: 'latest',
+    sourceType: 'module'
+  },
+  rules: {
+  }
+}
--- a/node/README.md
+++ b/node/README.md
@@ -0,0 +1,30 @@
+
+A JavaScript / Node.js library for [LanceDB](https://github.com/lancedb/lancedb).
+
+## Quick Start
+
+```bash
+npm i vectordb
+```
+
+See the examples folder for usage.
+
+## Development
+
+The LanceDB javascript is built with npm:
+
+```bash
+npm run tsc
+```
+
+Run the tests with
+
+```bash
+npm test
+```
+
+To run the linter and have it automatically fix all errors
+
+```bash
+npm run lint -- --fix
+```
--- a/node/examples/simple/index.js
+++ b/node/examples/simple/index.js
@@ -0,0 +1,21 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+'use strict'
+
+const lancedb = require('@lancedb/vectordb')
+
+const db = lancedb.connect('../../sample-lancedb')
+
+console.log(db.tableNames())
--- a/node/examples/simple/package-lock.json
+++ b/node/examples/simple/package-lock.json
@@ -0,0 +1,575 @@
+{
+  "name": "vectordb-example",
+  "version": "1.0.0",
+  "lockfileVersion": 2,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "vectordb-example",
+      "version": "1.0.0",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@lancedb/vectordb": "^0.0.1"
+      }
+    },
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+      "requires": {
+        "reduce-flatten": "^2.0.0",
+        "typical": "^5.2.0"
+      },
+      "dependencies": {
+        "typical": {
+          "version": "5.2.0",
+          "resolved": "https://registry.npmjs.org/typical/-/typical-5.2.0.tgz",
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+        }
+      }
+    }
+  }
+}
--- a/node/examples/simple/package.json
+++ b/node/examples/simple/package.json
@@ -0,0 +1,14 @@
+{
+  "name": "vectordb-example",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "Apache-2.0",
+  "dependencies": {
+    "vectordb": "^0.0.1"
+  }
+}
--- a/node/gen_test_data.py
+++ b/node/gen_test_data.py
@@ -0,0 +1,8 @@
+import lancedb
+
+uri = "sample-lancedb"
+db = lancedb.connect(uri)
+table = db.create_table("my_table",
+                         data=[{"vector": [3.1, 4.1], "item": "foo", "price": 10.0},
+                               {"vector": [5.9, 26.5], "item": "bar", "price": 20.0}])
+
--- a/node/package-lock.json
+++ b/node/package-lock.json
--- a/node/package.json
+++ b/node/package.json
@@ -0,0 +1,48 @@
+{
+  "name": "vectordb",
+  "version": "0.0.1",
+  "description": " Serverless, low-latency vector database for AI applications",
+  "main": "dist/index.js",
+  "types": "dist/index.d.ts",
+  "scripts": {
+    "tsc": "tsc -b",
+    "build": "cargo-cp-artifact --artifact cdylib vectordb-node index.node -- cargo build --message-format=json-render-diagnostics",
+    "build-release": "npm run build -- --release",
+    "install": "npm run build-release",
+    "test": "mocha -recursive dist/test",
+    "lint": "eslint src --ext .js,.ts"
+  },
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/lancedb/lancedb/node"
+  },
+  "keywords": [
+    "data-format",
+    "data-science",
+    "machine-learning",
+    "data-analytics"
+  ],
+  "author": "Lance Devs",
+  "license": "Apache-2.0",
+  "devDependencies": {
+    "@types/chai": "^4.3.4",
+    "@types/mocha": "^10.0.1",
+    "@types/node": "^18.16.2",
+    "@typescript-eslint/eslint-plugin": "^5.59.1",
+    "cargo-cp-artifact": "^0.1",
+    "chai": "^4.3.7",
+    "eslint": "^8.39.0",
+    "eslint-config-standard-with-typescript": "^34.0.1",
+    "eslint-plugin-import": "^2.27.5",
+    "eslint-plugin-n": "^15.7.0",
+    "eslint-plugin-promise": "^6.1.1",
+    "mocha": "^10.2.0",
+    "ts-node": "^10.9.1",
+    "ts-node-dev": "^2.0.0",
+    "typescript": "*"
+  },
+  "dependencies": {
+    "@apache-arrow/ts": "^12.0.0",
+    "apache-arrow": "^12.0.0"
+  }
+}
--- a/node/sample-lancedb/my_table.lance/_latest.manifest
+++ b/node/sample-lancedb/my_table.lance/_latest.manifest
--- a/node/sample-lancedb/my_table.lance/_versions/1.manifest
+++ b/node/sample-lancedb/my_table.lance/_versions/1.manifest
--- a/node/sample-lancedb/my_table.lance/data/48cbdc96-ad9d-412a-b044-d970aaea674e.lance
+++ b/node/sample-lancedb/my_table.lance/data/48cbdc96-ad9d-412a-b044-d970aaea674e.lance
--- a/node/src/index.ts
+++ b/node/src/index.ts
@@ -0,0 +1,134 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+import { tableFromIPC, Vector } from 'apache-arrow'
+
+// eslint-disable-next-line @typescript-eslint/no-var-requires
+const { databaseNew, databaseTableNames, databaseOpenTable, tableSearch } = require('../index.node')
+
+/**
+ * Connect to a LanceDB instance at the given URI
+ * @param uri The uri of the database.
+ */
+export function connect (uri: string): Connection {
+  return new Connection(uri)
+}
+
+/**
+ * A connection to a LanceDB database.
+ */
+export class Connection {
+  private readonly _uri: string
+  private readonly _db: any
+
+  constructor (uri: string) {
+    this._uri = uri
+    this._db = databaseNew(uri)
+  }
+
+  get uri (): string {
+    return this._uri
+  }
+
+  /**
+     * Get the names of all tables in the database.
+     */
+  tableNames (): string[] {
+    return databaseTableNames.call(this._db)
+  }
+
+  /**
+     * Open a table in the database.
+     * @param name The name of the table.
+     */
+  async openTable (name: string): Promise<Table> {
+    const tbl = await databaseOpenTable.call(this._db, name)
+    return new Table(tbl, name)
+  }
+}
+
+/**
+ * A table in a LanceDB database.
+ */
+export class Table {
+  private readonly _tbl: any
+  private readonly _name: string
+
+  constructor (tbl: any, name: string) {
+    this._tbl = tbl
+    this._name = name
+  }
+
+  get name (): string {
+    return this._name
+  }
+
+  /**
+     * Create a search query to find the nearest neighbors of the given query vector.
+     * @param queryVector The query vector.
+     */
+  search(queryVector: number[]): Query {
+    return new Query(this._tbl, queryVector)
+  }
+}
+
+/**
+ * A builder for nearest neighbor queries for LanceDB.
+ */
+export class Query {
+  private readonly _tbl: any
+  private readonly _query_vector: number[]
+  private readonly _limit: number
+  private readonly _refine_factor?: number
+  private readonly _nprobes: number
+  private readonly _columns?: string[]
+  private readonly _where?: string
+  private readonly _metric = 'L2'
+
+  constructor (tbl: any, queryVector: number[]) {
+    this._tbl = tbl
+    this._query_vector = queryVector
+    this._limit = 10
+    this._nprobes = 20
+    this._refine_factor = undefined
+    this._columns = undefined
+    this._where = undefined
+  }
+
+  /**
+     * Execute the query and return the results as an Array of Objects
+     */
+  async execute (): Promise<unknown[]> {
+    const buffer = await tableSearch.call(this._tbl, this._query_vector, this._limit)
+    const data = tableFromIPC(buffer)
+    return data.toArray().map((entry: Record<string, unknown>) => {
+      const newObject: Record<string, unknown> = {}
+      Object.keys(entry).forEach((key: string) => {
+        if (entry[key] instanceof Vector) {
+          newObject[key] = (entry[key] as Vector).toArray()
+        } else {
+          newObject[key] = entry[key]
+        }
+      })
+      return newObject
+    })
+  }
+
+  /**
+     * Execute the query and return the results as an Array of the generic type provided
+     */
+  async execute_cast<T>(): Promise<T[]> {
+    return await this.execute() as T[]
+  }
+}
--- a/node/src/test/test.ts
+++ b/node/src/test/test.ts
@@ -0,0 +1,71 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+import { describe } from 'mocha'
+import { assert } from 'chai'
+
+import * as lancedb from '../index'
+
+describe('LanceDB client', function () {
+  describe('open a connection to lancedb', function () {
+    const con = lancedb.connect('.../../sample-lancedb')
+
+    it('should have a valid url', function () {
+      assert.equal(con.uri, '.../../sample-lancedb')
+    })
+
+    it('should return the existing table names', function () {
+      assert.deepEqual(con.tableNames(), ['my_table'])
+    })
+
+    describe('open a table from a connection', function () {
+      const tablePromise = con.openTable('my_table')
+
+      it('should have a valid name', async function () {
+        const table = await tablePromise
+        assert.equal(table.name, 'my_table')
+      })
+
+      class MyResult {
+        vector: Float32Array = new Float32Array(0)
+        price: number = 0
+        item: string = ''
+      }
+
+      it('execute a query', async function () {
+        const table = await tablePromise
+        const builder = table.search([0.1, 0.3])
+        const results = await builder.execute() as MyResult[]
+
+        assert.equal(results.length, 2)
+        assert.equal(results[0].item, 'foo')
+        assert.equal(results[0].price, 10)
+        assert.approximately(results[0].vector[0], 3.1, 0.1)
+        assert.approximately(results[0].vector[1], 4.1, 0.1)
+      })
+
+      it('execute a query and type cast the result', async function () {
+        const table = await tablePromise
+
+        const builder = table.search([0.1, 0.3])
+        const results = await builder.execute_cast<MyResult>()
+        assert.equal(results.length, 2)
+        assert.equal(results[0].item, 'foo')
+        assert.equal(results[0].price, 10)
+        assert.approximately(results[0].vector[0], 3.1, 0.1)
+        assert.approximately(results[0].vector[1], 4.1, 0.1)
+      })
+    })
+  })
+})
--- a/node/tsconfig.json
+++ b/node/tsconfig.json
@@ -0,0 +1,10 @@
+{
+  "include": ["src/**/*.ts"],
+  "compilerOptions": {
+    "target": "es2016",
+    "module": "commonjs",
+    "declaration": true,
+    "outDir": "./dist",
+    "strict": true
+  }
+}
--- a/rust/ffi/node/Cargo.toml
+++ b/rust/ffi/node/Cargo.toml
@@ -0,0 +1,19 @@
+[package]
+name = "vectordb-node"
+version = "0.1.0"
+description = "Serverless, low-latency vector database for AI applications"
+license = "Apache-2.0"
+edition = "2018"
+exclude = ["index.node"]
+
+[lib]
+crate-type = ["cdylib"]
+
+[dependencies]
+arrow-array = "37.0"
+arrow-ipc = "37.0"
+once_cell = "1"
+futures = "0.3"
+vectordb = { path = "../../vectordb" }
+tokio = { version = "1.23", features = ["rt-multi-thread"] }
+neon = {version = "0.10.1", default-features = false, features = ["channel-api", "napi-6", "promise-api", "task-api"] }
--- a/rust/ffi/node/README.md
+++ b/rust/ffi/node/README.md
@@ -0,0 +1,3 @@
+The LanceDB node bridge (vectordb-node) allows javascript applications to access LanceDB datasets.
+
+It is build using [Neon](https://neon-bindings.com). See the node project for an example of how it is used / tests
--- a/rust/ffi/node/src/convert.rs
+++ b/rust/ffi/node/src/convert.rs
@@ -0,0 +1,36 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use neon::prelude::*;
+
+pub(crate) fn vec_str_to_array<'a, C: Context<'a>>(
+    vec: &Vec<String>,
+    cx: &mut C,
+) -> JsResult<'a, JsArray> {
+    let a = JsArray::new(cx, vec.len() as u32);
+    for (i, s) in vec.iter().enumerate() {
+        let v = cx.string(s);
+        a.set(cx, i as u32, v)?;
+    }
+    Ok(a)
+}
+
+pub(crate) fn js_array_to_vec(array: &JsArray, cx: &mut FunctionContext) -> Vec<f32> {
+    let mut query_vec: Vec<f32> = Vec::new();
+    for i in 0..array.len(cx) {
+        let entry: Handle<JsNumber> = array.get(cx, i).unwrap();
+        query_vec.push(entry.value(cx) as f32);
+    }
+    query_vec
+}
--- a/rust/ffi/node/src/lib.rs
+++ b/rust/ffi/node/src/lib.rs
@@ -0,0 +1,145 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+mod convert;
+
+use std::ops::Deref;
+use std::sync::Arc;
+
+use arrow_array::Float32Array;
+use arrow_ipc::writer::FileWriter;
+use futures::TryStreamExt;
+use neon::prelude::*;
+use once_cell::sync::OnceCell;
+use tokio::runtime::Runtime;
+
+use vectordb::database::Database;
+use vectordb::table::Table;
+
+struct JsDatabase {
+    database: Arc<Database>,
+}
+
+struct JsTable {
+    table: Arc<Table>,
+}
+
+impl Finalize for JsDatabase {}
+
+impl Finalize for JsTable {}
+
+fn runtime<'a, C: Context<'a>>(cx: &mut C) -> NeonResult<&'static Runtime> {
+    static RUNTIME: OnceCell<Runtime> = OnceCell::new();
+
+    RUNTIME.get_or_try_init(|| Runtime::new().or_else(|err| cx.throw_error(err.to_string())))
+}
+
+fn database_new(mut cx: FunctionContext) -> JsResult<JsBox<JsDatabase>> {
+    let path = cx.argument::<JsString>(0)?.value(&mut cx);
+    let db = JsDatabase {
+        database: Arc::new(Database::connect(path).or_else(|err| cx.throw_error(err.to_string()))?),
+    };
+    Ok(cx.boxed(db))
+}
+
+fn database_table_names(mut cx: FunctionContext) -> JsResult<JsArray> {
+    let db = cx
+        .this()
+        .downcast_or_throw::<JsBox<JsDatabase>, _>(&mut cx)?;
+    let tables = db
+        .database
+        .table_names()
+        .or_else(|err| cx.throw_error(err.to_string()))?;
+    convert::vec_str_to_array(&tables, &mut cx)
+}
+
+fn database_open_table(mut cx: FunctionContext) -> JsResult<JsPromise> {
+    let db = cx
+        .this()
+        .downcast_or_throw::<JsBox<JsDatabase>, _>(&mut cx)?;
+    let table_name = cx.argument::<JsString>(0)?.value(&mut cx);
+
+    let rt = runtime(&mut cx)?;
+    let channel = cx.channel();
+    let database = db.database.clone();
+
+    let (deferred, promise) = cx.promise();
+    rt.spawn(async move {
+        let table_rst = database.open_table(table_name).await;
+
+        deferred.settle_with(&channel, move |mut cx| {
+            let table = Arc::new(table_rst.or_else(|err| cx.throw_error(err.to_string()))?);
+            Ok(cx.boxed(JsTable { table }))
+        });
+    });
+    Ok(promise)
+}
+
+fn table_search(mut cx: FunctionContext) -> JsResult<JsPromise> {
+    let js_table = cx.this().downcast_or_throw::<JsBox<JsTable>, _>(&mut cx)?;
+    let query_vector = cx.argument::<JsArray>(0)?; //. .as_value(&mut cx);
+    let limit = cx.argument::<JsNumber>(1)?.value(&mut cx);
+
+    let rt = runtime(&mut cx)?;
+    let channel = cx.channel();
+
+    let (deferred, promise) = cx.promise();
+    let table = js_table.table.clone();
+    let query = convert::js_array_to_vec(query_vector.deref(), &mut cx);
+
+    rt.spawn(async move {
+        let builder = table
+            .search(Float32Array::from(query))
+            .limit(limit as usize);
+        let results = builder
+            .execute()
+            .await
+            .unwrap() // FIXME unwrap
+            .try_collect::<Vec<_>>()
+            .await;
+
+        deferred.settle_with(&channel, move |mut cx| {
+            let results = results.or_else(|err| cx.throw_error(err.to_string()))?;
+            let vector: Vec<u8> = Vec::new();
+
+            if results.is_empty() {
+                return cx.buffer(0);
+            }
+
+            let schema = results.get(0).unwrap().schema();
+            let mut fr = FileWriter::try_new(vector, schema.deref())
+                .or_else(|err| cx.throw_error(err.to_string()))?;
+
+            for batch in results.iter() {
+                fr.write(batch)
+                    .or_else(|err| cx.throw_error(err.to_string()))?;
+            }
+            fr.finish().or_else(|err| cx.throw_error(err.to_string()))?;
+            let buf = fr
+                .into_inner()
+                .or_else(|err| cx.throw_error(err.to_string()))?;
+            Ok(JsBuffer::external(&mut cx, buf))
+        });
+    });
+    Ok(promise)
+}
+
+#[neon::main]
+fn main(mut cx: ModuleContext) -> NeonResult<()> {
+    cx.export_function("databaseNew", database_new)?;
+    cx.export_function("databaseTableNames", database_table_names)?;
+    cx.export_function("databaseOpenTable", database_open_table)?;
+    cx.export_function("tableSearch", table_search)?;
+    Ok(())
+}
--- a/rust/src/lib.rs
+++ b/rust/src/lib.rs
@@ -1,14 +0,0 @@
-pub fn add(left: usize, right: usize) -> usize {
-    left + right
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn it_works() {
-        let result = add(2, 2);
-        assert_eq!(result, 4);
-    }
-}
--- a/rust/vectordb/Cargo.toml
+++ b/rust/vectordb/Cargo.toml
@@ -9,4 +9,10 @@ repository = "https://github.com/lancedb/lancedb"
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

 [dependencies]
+arrow-array = "37.0"
+arrow-schema = "37.0"
 lance = "0.4.3"
+tokio = { version = "1.23", features = ["rt-multi-thread"] }
+
+[dev-dependencies]
+tempfile = "3.5.0"
--- a/rust/vectordb/src/database.rs
+++ b/rust/vectordb/src/database.rs
@@ -0,0 +1,118 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::fs::create_dir_all;
+use std::path::{Path, PathBuf};
+use std::sync::Arc;
+
+use crate::error::Result;
+use crate::table::Table;
+
+pub struct Database {
+    pub(crate) path: Arc<PathBuf>,
+}
+
+const LANCE_EXTENSION: &str = "lance";
+
+/// A connection to LanceDB
+impl Database {
+    /// Connects to LanceDB
+    ///
+    /// # Arguments
+    ///
+    /// * `path` - URI where the database is located, can be a local file or a supported remote cloud storage
+    ///
+    /// # Returns
+    ///
+    /// * A [Database] object.
+    pub fn connect<P: AsRef<Path>>(path: P) -> Result<Database> {
+        if !path.as_ref().try_exists()? {
+            create_dir_all(&path)?;
+        }
+        Ok(Database {
+            path: Arc::new(path.as_ref().to_path_buf()),
+        })
+    }
+
+    /// Get the names of all tables in the database.
+    ///
+    /// # Returns
+    ///
+    /// * A [Vec<String>] with all table names.
+    pub fn table_names(&self) -> Result<Vec<String>> {
+        let f = self
+            .path
+            .read_dir()?
+            .flatten()
+            .map(|dir_entry| dir_entry.path())
+            .filter(|path| {
+                let is_lance = path
+                    .extension()
+                    .map(|e| e.to_str().map(|e| e == LANCE_EXTENSION))
+                    .flatten();
+                is_lance.unwrap_or(false)
+            })
+            .map(|p| {
+                p.file_stem()
+                    .map(|s| s.to_str().map(|s| String::from(s)))
+                    .flatten()
+            })
+            .flatten()
+            .collect();
+        Ok(f)
+    }
+
+    /// Open a table in the database.
+    ///
+    /// # Arguments
+    /// * `name` - The name of the table.
+    ///
+    /// # Returns
+    ///
+    /// * A [Table] object.
+    pub async fn open_table(&self, name: String) -> Result<Table> {
+        Table::new(self.path.clone(), name).await
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use std::fs::create_dir_all;
+    use tempfile::tempdir;
+
+    use crate::database::Database;
+
+    #[tokio::test]
+    async fn test_connect() {
+        let tmp_dir = tempdir().unwrap();
+        let path_buf = tmp_dir.into_path();
+        let db = Database::connect(&path_buf);
+
+        assert_eq!(db.unwrap().path.as_path(), path_buf.as_path())
+    }
+
+    #[tokio::test]
+    async fn test_table_names() {
+        let tmp_dir = tempdir().unwrap();
+        create_dir_all(tmp_dir.path().join("table1.lance")).unwrap();
+        create_dir_all(tmp_dir.path().join("table2.lance")).unwrap();
+        create_dir_all(tmp_dir.path().join("invalidlance")).unwrap();
+
+        let db = Database::connect(&tmp_dir.into_path()).unwrap();
+        let tables = db.table_names().unwrap();
+        assert_eq!(tables.len(), 2);
+        assert!(tables.contains(&String::from("table1")));
+        assert!(tables.contains(&String::from("table2")));
+    }
+}
--- a/rust/vectordb/src/error.rs
+++ b/rust/vectordb/src/error.rs
@@ -0,0 +1,43 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#[derive(Debug)]
+pub enum Error {
+    IO(String),
+    Lance(String),
+}
+
+impl std::fmt::Display for Error {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        let (catalog, message) = match self {
+            Self::IO(s) => ("I/O", s.as_str()),
+            Self::Lance(s) => ("Lance", s.as_str()),
+        };
+        write!(f, "LanceDBError({catalog}): {message}")
+    }
+}
+
+pub type Result<T> = std::result::Result<T, Error>;
+
+impl From<std::io::Error> for Error {
+    fn from(e: std::io::Error) -> Self {
+        Self::IO(e.to_string())
+    }
+}
+
+impl From<lance::Error> for Error {
+    fn from(e: lance::Error) -> Self {
+        Self::Lance(e.to_string())
+    }
+}
--- a/rust/vectordb/src/lib.rs
+++ b/rust/vectordb/src/lib.rs
@@ -0,0 +1,18 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+pub mod database;
+pub mod error;
+pub mod query;
+pub mod table;
--- a/rust/vectordb/src/query.rs
+++ b/rust/vectordb/src/query.rs
@@ -0,0 +1,210 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::sync::Arc;
+
+use arrow_array::Float32Array;
+use lance::dataset::scanner::{DatasetRecordBatchStream, Scanner};
+use lance::dataset::Dataset;
+use lance::index::vector::MetricType;
+
+use crate::error::Result;
+
+/// A builder for nearest neighbor queries for LanceDB.
+pub struct Query {
+    pub dataset: Arc<Dataset>,
+    pub query_vector: Float32Array,
+    pub limit: usize,
+    pub nprobes: usize,
+    pub refine_factor: Option<u32>,
+    pub metric_type: MetricType,
+    pub use_index: bool,
+}
+
+impl Query {
+    /// Creates a new Query object
+    ///
+    /// # Arguments
+    ///
+    /// * `dataset` - The table / dataset the query will be run against.
+    /// * `vector` The vector used for this query.
+    ///
+    /// # Returns
+    ///
+    /// * A [Query] object.
+    pub(crate) fn new(dataset: Arc<Dataset>, vector: Float32Array) -> Self {
+        Query {
+            dataset,
+            query_vector: vector,
+            limit: 10,
+            nprobes: 20,
+            refine_factor: None,
+            metric_type: MetricType::L2,
+            use_index: false,
+        }
+    }
+
+    /// Execute the queries and return its results.
+    ///
+    /// # Returns
+    ///
+    /// * A [DatasetRecordBatchStream] with the query's results.
+    pub async fn execute(&self) -> Result<DatasetRecordBatchStream> {
+        let mut scanner: Scanner = self.dataset.scan();
+
+        scanner.nearest(
+            crate::table::VECTOR_COLUMN_NAME,
+            &self.query_vector,
+            self.limit,
+        )?;
+        scanner.nprobs(self.nprobes);
+        scanner.distance_metric(self.metric_type);
+        scanner.use_index(self.use_index);
+        self.refine_factor.map(|rf| scanner.refine(rf));
+        Ok(scanner.try_into_stream().await?)
+    }
+
+    /// Set the maximum number of results to return.
+    ///
+    /// # Arguments
+    ///
+    /// * `limit` - The maximum number of results to return.
+    pub fn limit(mut self, limit: usize) -> Query {
+        self.limit = limit;
+        self
+    }
+
+    /// Set the vector used for this query.
+    ///
+    /// # Arguments
+    ///
+    /// * `vector` - The vector that will be used for search.
+    pub fn query_vector(mut self, query_vector: Float32Array) -> Query {
+        self.query_vector = query_vector;
+        self
+    }
+
+    /// Set the number of probes to use.
+    ///
+    /// # Arguments
+    ///
+    /// * `nprobes` - The number of probes to use.
+    pub fn nprobes(mut self, nprobes: usize) -> Query {
+        self.nprobes = nprobes;
+        self
+    }
+
+    /// Set the refine factor to use.
+    ///
+    /// # Arguments
+    ///
+    /// * `refine_factor` - The refine factor to use.
+    pub fn refine_factor(mut self, refine_factor: Option<u32>) -> Query {
+        self.refine_factor = refine_factor;
+        self
+    }
+
+    /// Set the distance metric to use.
+    ///
+    /// # Arguments
+    ///
+    /// * `metric_type` - The distance metric to use. By default [MetricType::L2] is used.
+    pub fn metric_type(mut self, metric_type: MetricType) -> Query {
+        self.metric_type = metric_type;
+        self
+    }
+
+    /// Whether to use an ANN index if available
+    ///
+    /// # Arguments
+    ///
+    /// * `use_index` - Sets Whether to use an ANN index if available
+    pub fn use_index(mut self, use_index: bool) -> Query {
+        self.use_index = use_index;
+        self
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use std::sync::Arc;
+
+    use arrow_array::{Float32Array, RecordBatch, RecordBatchReader};
+    use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema};
+    use lance::arrow::RecordBatchBuffer;
+    use lance::dataset::Dataset;
+    use lance::index::vector::MetricType;
+
+    use crate::query::Query;
+
+    #[tokio::test]
+    async fn test_setters_getters() {
+        let mut batches: Box<dyn RecordBatchReader> = Box::new(make_test_batches());
+        let ds = Dataset::write(&mut batches, ":memory:", None)
+            .await
+            .unwrap();
+
+        let vector = Float32Array::from_iter_values([0.1, 0.2]);
+        let query = Query::new(Arc::new(ds), vector.clone());
+        assert_eq!(query.query_vector, vector);
+
+        let new_vector = Float32Array::from_iter_values([9.8, 8.7]);
+
+        let query = query
+            .query_vector(new_vector.clone())
+            .limit(100)
+            .nprobes(1000)
+            .use_index(true)
+            .metric_type(MetricType::Cosine)
+            .refine_factor(Some(999));
+
+        assert_eq!(query.query_vector, new_vector);
+        assert_eq!(query.limit, 100);
+        assert_eq!(query.nprobes, 1000);
+        assert_eq!(query.use_index, true);
+        assert_eq!(query.metric_type, MetricType::Cosine);
+        assert_eq!(query.refine_factor, Some(999));
+    }
+
+    #[tokio::test]
+    async fn test_execute() {
+        let mut batches: Box<dyn RecordBatchReader> = Box::new(make_test_batches());
+        let ds = Dataset::write(&mut batches, ":memory:", None)
+            .await
+            .unwrap();
+
+        let vector = Float32Array::from_iter_values([0.1; 128]);
+        let query = Query::new(Arc::new(ds), vector.clone());
+        let result = query.execute().await;
+        assert_eq!(result.is_ok(), true);
+    }
+
+    fn make_test_batches() -> RecordBatchBuffer {
+        let dim: usize = 128;
+        let schema = Arc::new(ArrowSchema::new(vec![
+            ArrowField::new("key", DataType::Int32, false),
+            ArrowField::new(
+                "vector",
+                DataType::FixedSizeList(
+                    Arc::new(ArrowField::new("item", DataType::Float32, true)),
+                    dim as i32,
+                ),
+                true,
+            ),
+            ArrowField::new("uri", DataType::Utf8, true),
+        ]));
+
+        RecordBatchBuffer::new(vec![RecordBatch::new_empty(schema.clone())])
+    }
+}
--- a/rust/vectordb/src/table.rs
+++ b/rust/vectordb/src/table.rs
@@ -0,0 +1,144 @@
+// Copyright 2023 Lance Developers.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::path::PathBuf;
+use std::sync::Arc;
+
+use arrow_array::Float32Array;
+use lance::dataset::Dataset;
+
+use crate::error::{Error, Result};
+use crate::query::Query;
+
+pub const VECTOR_COLUMN_NAME: &str = "vector";
+
+pub const LANCE_FILE_EXTENSION: &str = "lance";
+
+/// A table in a LanceDB database.
+pub struct Table {
+    name: String,
+    dataset: Arc<Dataset>,
+}
+
+impl Table {
+    /// Creates a new Table object
+    ///
+    /// # Arguments
+    ///
+    /// * `base_path` - The base path where the table is located
+    /// * `name` The Table name
+    ///
+    /// # Returns
+    ///
+    /// * A [Table] object.
+    pub async fn new(base_path: Arc<PathBuf>, name: String) -> Result<Self> {
+        let ds_path = base_path.join(format!("{}.{}", name, LANCE_FILE_EXTENSION));
+        let ds_uri = ds_path
+            .to_str()
+            .ok_or(Error::IO(format!("Unable to find table {}", name)))?;
+        let dataset = Dataset::open(ds_uri).await?;
+        let table = Table {
+            name,
+            dataset: Arc::new(dataset),
+        };
+        Ok(table)
+    }
+
+    /// Creates a new Query object that can be executed.
+    ///
+    /// # Arguments
+    ///
+    /// * `vector` The vector used for this query.
+    ///
+    /// # Returns
+    ///
+    /// * A [Query] object.
+    pub fn search(&self, query_vector: Float32Array) -> Query {
+        Query::new(self.dataset.clone(), query_vector)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use arrow_array::{Float32Array, Int32Array, RecordBatch, RecordBatchReader};
+    use arrow_schema::{DataType, Field, Schema};
+    use lance::arrow::RecordBatchBuffer;
+    use lance::dataset::Dataset;
+    use std::sync::Arc;
+    use tempfile::tempdir;
+
+    use crate::table::Table;
+
+    #[tokio::test]
+    async fn test_new_table_not_exists() {
+        let tmp_dir = tempdir().unwrap();
+        let path_buf = tmp_dir.into_path();
+
+        let table = Table::new(Arc::new(path_buf), "test".to_string()).await;
+        assert!(table.is_err());
+    }
+
+    #[tokio::test]
+    async fn test_new() {
+        let tmp_dir = tempdir().unwrap();
+        let path_buf = tmp_dir.into_path();
+
+        let mut batches: Box<dyn RecordBatchReader> = Box::new(make_test_batches());
+        Dataset::write(
+            &mut batches,
+            path_buf.join("test.lance").to_str().unwrap(),
+            None,
+        )
+        .await
+        .unwrap();
+
+        let table = Table::new(Arc::new(path_buf), "test".to_string())
+            .await
+            .unwrap();
+
+        assert_eq!(table.name, "test")
+    }
+
+    #[tokio::test]
+    async fn test_search() {
+        let tmp_dir = tempdir().unwrap();
+        let path_buf = tmp_dir.into_path();
+
+        let mut batches: Box<dyn RecordBatchReader> = Box::new(make_test_batches());
+        Dataset::write(
+            &mut batches,
+            path_buf.join("test.lance").to_str().unwrap(),
+            None,
+        )
+        .await
+        .unwrap();
+
+        let table = Table::new(Arc::new(path_buf), "test".to_string())
+            .await
+            .unwrap();
+
+        let vector = Float32Array::from_iter_values([0.1, 0.2]);
+        let query = table.search(vector.clone());
+        assert_eq!(vector, query.query_vector);
+    }
+
+    fn make_test_batches() -> RecordBatchBuffer {
+        let schema = Arc::new(Schema::new(vec![Field::new("i", DataType::Int32, false)]));
+        RecordBatchBuffer::new(vec![RecordBatch::try_new(
+            schema.clone(),
+            vec![Arc::new(Int32Array::from_iter_values(0..20))],
+        )
+        .unwrap()])
+    }
+}