feat(community): Remove required param from LanceDB integration

examples/package.json

@@ -102,7 +102,7 @@
     "typeorm": "^0.3.20",
     "typesense": "^1.5.3",
     "uuid": "^10.0.0",
-    "vectordb": "^0.1.4",
+    "vectordb": "^0.9.0",
     "voy-search": "0.6.2",
     "weaviate-ts-client": "^2.0.0",
     "zod": "^3.22.4",

examples/src/indexes/vector_stores/lancedb/fromDocs.ts

@@ -4,24 +4,29 @@ import { TextLoader } from "langchain/document_loaders/fs/text";
 import fs from "node:fs/promises";
 import path from "node:path";
 import os from "node:os";
-import { connect } from "vectordb";
 
 // Create docs with a loader
 const loader = new TextLoader("src/document_loaders/example_data/example.txt");
 const docs = await loader.load();
 
 export const run = async () => {
+  const vectorStore = await LanceDB.fromDocuments(docs, new OpenAIEmbeddings());
+
+  const resultOne = await vectorStore.similaritySearch("hello world", 1);
+  console.log(resultOne);
+
+  // [
+  //   Document {
+  //     pageContent: 'Foo\nBar\nBaz\n\n',
+  //     metadata: { source: 'src/document_loaders/example_data/example.txt' }
+  //   }
+  // ]
+};
+
+export const run_with_existing_table = async () => {
   const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
-  const db = await connect(dir);
-  const table = await db.createTable("vectors", [
-    { vector: Array(1536), text: "sample", source: "a" },
-  ]);
-
-  const vectorStore = await LanceDB.fromDocuments(
-    docs,
-    new OpenAIEmbeddings(),
-    { table }
-  );
+
+  const vectorStore = await LanceDB.fromDocuments(docs, new OpenAIEmbeddings());
 
   const resultOne = await vectorStore.similaritySearch("hello world", 1);
   console.log(resultOne);

examples/src/indexes/vector_stores/lancedb/fromTexts.ts

@@ -1,22 +1,27 @@
 import { LanceDB } from "@langchain/community/vectorstores/lancedb";
 import { OpenAIEmbeddings } from "@langchain/openai";
-import { connect } from "vectordb";
 import * as fs from "node:fs/promises";
 import * as path from "node:path";
 import os from "node:os";
 
 export const run = async () => {
-  const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
-  const db = await connect(dir);
-  const table = await db.createTable("vectors", [
-    { vector: Array(1536), text: "sample", id: 1 },
-  ]);
+  const vectorStore = await LanceDB.fromTexts(
+    ["Hello world", "Bye bye", "hello nice world"],
+    [{ id: 2 }, { id: 1 }, { id: 3 }],
+    new OpenAIEmbeddings()
+  );
 
+  const resultOne = await vectorStore.similaritySearch("hello world", 1);
+  console.log(resultOne);
+  // [ Document { pageContent: 'hello nice world', metadata: { id: 3 } } ]
+};
+
+export const run_with_existing_table = async () => {
+  const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-"));
   const vectorStore = await LanceDB.fromTexts(
     ["Hello world", "Bye bye", "hello nice world"],
     [{ id: 2 }, { id: 1 }, { id: 3 }],
-    new OpenAIEmbeddings(),
-    { table }
+    new OpenAIEmbeddings()
   );
 
   const resultOne = await vectorStore.similaritySearch("hello world", 1);

libs/langchain-community/package.json

@@ -207,7 +207,7 @@
     "typescript": "~5.1.6",
     "typesense": "^1.5.3",
     "usearch": "^1.1.1",
-    "vectordb": "^0.1.4",
+    "vectordb": "^0.9.0",
     "voy-search": "0.6.2",
     "weaviate-ts-client": "^1.4.0",
     "web-auth-library": "^1.0.3",

libs/langchain-community/src/vectorstores/lancedb.ts

@@ -1,4 +1,4 @@
-import { Table } from "vectordb";
+import { connect, Table, Connection, WriteMode } from "vectordb";
 import type { EmbeddingsInterface } from "@langchain/core/embeddings";
 import { VectorStore } from "@langchain/core/vectorstores";
 import { Document } from "@langchain/core/documents";
@@ -8,8 +8,11 @@ import { Document } from "@langchain/core/documents";
  * table and an optional textKey.
  */
 export type LanceDBArgs = {
-  table: Table;
+  table?: Table;
   textKey?: string;
+  uri?: string;
+  tableName?: string;
+  mode?: WriteMode;
 };
 
 /**
@@ -18,15 +21,24 @@ export type LanceDBArgs = {
  * embeddings.
  */
 export class LanceDB extends VectorStore {
-  private table: Table;
+  private table?: Table;
 
   private textKey: string;
 
-  constructor(embeddings: EmbeddingsInterface, args: LanceDBArgs) {
-    super(embeddings, args);
-    this.table = args.table;
+  private uri: string;
+
+  private tableName: string;
+
+  private mode?: WriteMode;
+
+  constructor(embeddings: EmbeddingsInterface, args?: LanceDBArgs) {
+    super(embeddings, args || {});
+    this.table = args?.table;
     this.embeddings = embeddings;
-    this.textKey = args.textKey || "text";
+    this.textKey = args?.textKey || "text";
+    this.uri = args?.uri || "~/lancedb";
+    this.tableName = args?.tableName || "langchain";
+    this.mode = args?.mode || WriteMode.Overwrite;
   }
 
   /**
@@ -71,6 +83,14 @@ export class LanceDB extends VectorStore {
       });
       data.push(record);
     }
+    if (!this.table) {
+      const db: Connection = await connect(this.uri);
+      this.table = await db.createTable(this.tableName, data, {
+        writeMode: this.mode,
+      });
+
+      return;
+    }
     await this.table.add(data);
   }
 
@@ -85,6 +105,11 @@ export class LanceDB extends VectorStore {
     query: number[],
     k: number
   ): Promise<[Document, number][]> {
+    if (!this.table) {
+      throw new Error(
+        "Table not found. Please add vectors to the table first."
+      );
+    }
     const results = await this.table.search(query).limit(k).execute();
 
     const docsAndScore: [Document, number][] = [];
@@ -119,7 +144,7 @@ export class LanceDB extends VectorStore {
     texts: string[],
     metadatas: object[] | object,
     embeddings: EmbeddingsInterface,
-    dbConfig: LanceDBArgs
+    dbConfig?: LanceDBArgs
   ): Promise<LanceDB> {
     const docs: Document[] = [];
     for (let i = 0; i < texts.length; i += 1) {
@@ -143,7 +168,7 @@ export class LanceDB extends VectorStore {
   static async fromDocuments(
     docs: Document[],
     embeddings: EmbeddingsInterface,
-    dbConfig: LanceDBArgs
+    dbConfig?: LanceDBArgs
   ): Promise<LanceDB> {
     const instance = new this(embeddings, dbConfig);
     await instance.addDocuments(docs);

libs/langchain-community/src/vectorstores/tests/lancedb.int.test.ts

@@ -45,3 +45,27 @@ describe("LanceDB", () => {
     expect(resultsTwo.length).toBe(5);
   });
 });
+
+describe("LanceDB empty schema", () => {
+  test("Test fromTexts + addDocuments", async () => {
+    const embeddings = new OpenAIEmbeddings();
+    const vectorStore = await LanceDB.fromTexts(
+      ["hello bye", "hello world", "bye bye"],
+      [{ id: 1 }, { id: 2 }, { id: 3 }],
+      embeddings
+    );
+
+    const results = await vectorStore.similaritySearch("hello bye", 10);
+    expect(results.length).toBe(3);
+
+    await vectorStore.addDocuments([
+      new Document({
+        pageContent: "a new world",
+        metadata: { id: 4 },
+      }),
+    ]);
+
+    const resultsTwo = await vectorStore.similaritySearch("hello bye", 10);
+    expect(resultsTwo.length).toBe(4);
+  });
+});

yarn.lock

@@ -251,24 +251,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@apache-arrow/ts@npm:^12.0.0":
-  version: 12.0.0
-  resolution: "@apache-arrow/ts@npm:12.0.0"
-  dependencies:
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-    "@types/command-line-usage": 5.0.2
-    "@types/node": 18.14.5
-    "@types/pad-left": 2.1.1
-    command-line-args: 5.2.1
-    command-line-usage: 6.1.3
-    flatbuffers: 23.3.3
-    json-bignum: ^0.0.3
-    pad-left: ^2.1.0
-    tslib: ^2.5.0
-  checksum: 67b2791e14d5377b1d160a0d8390decc386e013c517713f8b9c100737a0e478a394086d91a8c846848d4e30289070a119d8e65191998f4c2555b18a29564df50
-  languageName: node
-  linkType: hard
-
 "@apify/consts@npm:^2.13.0, @apify/consts@npm:^2.9.0":
   version: 2.13.0
   resolution: "@apify/consts@npm:2.13.0"
@@ -11112,6 +11094,41 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@lancedb/vectordb-darwin-arm64@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-darwin-arm64@npm:0.4.20"
+  conditions: os=darwin & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-darwin-x64@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-darwin-x64@npm:0.4.20"
+  conditions: os=darwin & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-linux-arm64-gnu@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-linux-arm64-gnu@npm:0.4.20"
+  conditions: os=linux & cpu=arm64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-linux-x64-gnu@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-linux-x64-gnu@npm:0.4.20"
+  conditions: os=linux & cpu=x64
+  languageName: node
+  linkType: hard
+
+"@lancedb/vectordb-win32-x64-msvc@npm:0.4.20":
+  version: 0.4.20
+  resolution: "@lancedb/vectordb-win32-x64-msvc@npm:0.4.20"
+  conditions: os=win32 & cpu=x64
+  languageName: node
+  linkType: hard
+
 "@langchain/anthropic@*, @langchain/anthropic@workspace:*, @langchain/anthropic@workspace:libs/langchain-anthropic":
   version: 0.0.0-use.local
   resolution: "@langchain/anthropic@workspace:libs/langchain-anthropic"
@@ -11577,7 +11594,7 @@ __metadata:
     typesense: ^1.5.3
     usearch: ^1.1.1
     uuid: ^10.0.0
-    vectordb: ^0.1.4
+    vectordb: ^0.9.0
     voy-search: 0.6.2
     weaviate-ts-client: ^1.4.0
     web-auth-library: ^1.0.3
@@ -13039,6 +13056,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@neon-rs/load@npm:^0.0.74":
+  version: 0.0.74
+  resolution: "@neon-rs/load@npm:0.0.74"
+  checksum: d26ec9b08cdf1a7c5aeefe98f77112d205d11b4005a7934b21fe8fd27528847e08e4749e7e6c3fc05ae9f701175a58c11a095ae6af449634df3991a2c82e1dfa
+  languageName: node
+  linkType: hard
+
 "@neondatabase/serverless@npm:0.6.0":
   version: 0.6.0
   resolution: "@neondatabase/serverless@npm:0.6.0"
@@ -20774,26 +20798,6 @@ __metadata:
   languageName: node
   linkType: hard
 
-"apache-arrow@npm:^12.0.0":
-  version: 12.0.0
-  resolution: "apache-arrow@npm:12.0.0"
-  dependencies:
-    "@types/command-line-args": 5.2.0
-    "@types/command-line-usage": 5.0.2
-    "@types/node": 18.14.5
-    "@types/pad-left": 2.1.1
-    command-line-args: 5.2.1
-    command-line-usage: 6.1.3
-    flatbuffers: 23.3.3
-    json-bignum: ^0.0.3
-    pad-left: ^2.1.0
-    tslib: ^2.5.0
-  bin:
-    arrow2csv: bin/arrow2csv.js
-  checksum: 3285189517c2b298cda42852321ce127754918513116eade6e4914c57983f68b6ba96605cfaa2202796d3d6e14755d3b3758f76c1374492affa3d95714eaca40
-  languageName: node
-  linkType: hard
-
 "apache-arrow@npm:^12.0.1":
   version: 12.0.1
   resolution: "apache-arrow@npm:12.0.1"
@@ -27133,7 +27137,7 @@ __metadata:
     typescript: ~5.1.6
     typesense: ^1.5.3
     uuid: ^10.0.0
-    vectordb: ^0.1.4
+    vectordb: ^0.9.0
     voy-search: 0.6.2
     weaviate-ts-client: ^2.0.0
     zod: ^3.22.4
@@ -42444,13 +42448,32 @@ __metadata:
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   linkType: hard
 
-"vectordb@npm:^0.1.4":
-  version: 0.1.4
-  resolution: "vectordb@npm:0.1.4"
-  dependencies:
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-    apache-arrow: ^12.0.0
-  checksum: 8a40abf4466479b0b9e61687416b5ab232458401917bf9a1d5f3d8ea8c8320ecc5691174f4d4c0cfef0bb6c16328a9088419fd90ac85fd7267dbccdd1f9e55d7
+"vectordb@npm:^0.9.0":
+  version: 0.9.0
+  resolution: "vectordb@npm:0.9.0"
+  dependencies:
+    "@lancedb/vectordb-darwin-arm64": 0.4.20
+    "@lancedb/vectordb-darwin-x64": 0.4.20
+    "@lancedb/vectordb-linux-arm64-gnu": 0.4.20
+    "@lancedb/vectordb-linux-x64-gnu": 0.4.20
+    "@lancedb/vectordb-win32-x64-msvc": 0.4.20
+    "@neon-rs/load": ^0.0.74
+    axios: ^1.4.0
+  peerDependencies:
+    "@apache-arrow/ts": ^14.0.2
+    apache-arrow: ^14.0.2
+  dependenciesMeta:
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+      optional: true
+    "@lancedb/vectordb-darwin-x64":
+      optional: true
+    "@lancedb/vectordb-linux-arm64-gnu":
+      optional: true
+    "@lancedb/vectordb-linux-x64-gnu":
+      optional: true
+    "@lancedb/vectordb-win32-x64-msvc":
+      optional: true
+  conditions: (os=darwin | os=linux | os=win32) & (cpu=x64 | cpu=arm64)
   languageName: node
   linkType: hard