@langchain/turbopuffer

This package contains the LangChain.js integration for the turbopuffer vector database.

Installation

``bash
npm install @langchain/turbopuffer @turbopuffer/turbopuffer
`

Usage

`typescript
import { Turbopuffer } from "@turbopuffer/turbopuffer";
import { TurbopufferVectorStore } from "@langchain/turbopuffer";
import { OpenAIEmbeddings } from "@langchain/openai";

const client = new Turbopuffer({ apiKey: process.env.TURBOPUFFER_API_KEY });

const vectorStore = new TurbopufferVectorStore(new OpenAIEmbeddings(), {
namespace: client.namespace("my-namespace"),
});

const ids = await vectorStore.addDocuments([
{ pageContent: "Hello world", metadata: { source: "greeting" } },
]);

const results = await vectorStore.similaritySearch("hello", 1);

await vectorStore.delete({ ids });
`

$3

| Option | Description | Default |
| ---------------- | --------------------------------------------- | ------------------- |
| namespace | A configured turbopuffer Namespace instance | Required |
| distanceMetric | "cosine_distance" or "euclidean_squared" | "cosine_distance" |

$3

| Option | Description | Default |
| ----------- | ------------------------ | -------------------- |
| ids | Custom IDs for documents | Auto-generated UUIDs |
| batchSize | Batch size for upserts | 3000 |

$3

`typescript
const results = await vectorStore.similaritySearch("query", 10, [
"category",
"Eq",
"books",
]);
`

Development

`bash
pnpm install
pnpm build
pnpm test
pnpm test:int
pnpm lint && pnpm format
``