@langchain/community/dist/vectorstores/tests/voy.int.test.js

Third-party integrations for LangChain.js

import { expect, test } from "@jest/globals";
import { Voy as VoyOriginClient } from "voy-search";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { VoyVectorStore } from "../voy.js";
const client = new VoyOriginClient();
test("it can create index using Voy.from text, add new elements to the index and get queried documents", async () => {
    const vectorStore = await VoyVectorStore.fromTexts(["initial first page", "initial second page"], [{ id: 1 }, { id: 2 }], new OpenAIEmbeddings(), client);
    // the number of dimensions is produced by OpenAI
    expect(vectorStore.numDimensions).toBe(1536);
    await vectorStore.addDocuments([
        new Document({
            pageContent: "added first page",
            metadata: { id: 5 },
        }),
        new Document({
            pageContent: "added second page",
            metadata: { id: 4 },
        }),
        new Document({
            pageContent: "added third page",
            metadata: { id: 6 },
        }),
    ]);
    expect(vectorStore.docstore.length).toBe(5);
    await vectorStore.addDocuments([
        new Document({
            pageContent: "added another first page",
            metadata: { id: 7 },
        }),
    ]);
    const results = await vectorStore.similaritySearchWithScore("added first", 6);
    expect(results.length).toBe(6);
    await vectorStore.delete({
        deleteAll: true,
    });
    const results2 = await vectorStore.similaritySearchWithScore("added first", 6);
    expect(results2.length).toBe(0);
});