@react-native-rag/op-sqlite

This package provides a VectorStore implementation that uses op-sqlite for persistent storage of vector embeddings in a React Native application. It's designed to be used with the react-native-rag library.

Features

• Persistent Storage: Your vector data is saved on the device, so it's available across app launches.
• Efficient Similarity Search: Leverages the vector search capabilities of op-sqlite for fast and accurate retrieval.
• Seamless Integration: Designed to work as a drop-in replacement for other VectorStore implementations in react-native-rag.

Installation

First, install the necessary packages:

npm install @react-native-rag/op-sqlite @op-engineering/op-sqlite

You also need to follow the installation instructions for @op-engineering/op-sqlite.

Configuration

To enable the required features for vector search, you must add the following configuration to your package.json file:

"op-sqlite": {
  "libsql": true,
  "sqliteVec": true
}

This configuration ensures that the necessary libsql and sqliteVec extensions are enabled for op-sqlite.

Usage

To use OPSQLiteVectorStore, you need to instantiate it with an Embeddings implementation. Here's how you can use it with the useRAG hook from react-native-rag:

import { useRAG } from 'react-native-rag';
import { OPSQLiteVectorStore } from '@react-native-rag/op-sqlite';
import { YourLLM, YourEmbeddings } from './your-implementations'; // Provide your own LLM and Embeddings

const App = () => {
  const { isReady, generate, addDocument } = useRAG({
    llm: new YourLLM(),
    vectorStore: new OPSQLiteVectorStore({
      name: 'my-vector-db',
      embeddings: new YourEmbeddings(),
    }),
  });

  // ... your component logic
};

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