MeMemo

Overview

MeMemo is a JavaScript library that brings RAG and vector search to browser environments. MeMemo adapts the state-of-the-art approximate nearest neighbor search technique HNSW to browser environments.

Key Features

• Browser-Native: Developed with modern Web technologies like IndexedDB and Web Workers
• Client-Side Processing: Leverages client-side hardware capabilities to efficiently search through millions of high-dimensional vectors in browsers
• Easy Integration: Install with a single command npm install mememo and import into any web app
• Framework Agnostic: Works with JavaScript, TypeScript, React, Svelte, or Lit
• HNSW Algorithm: Uses state-of-the-art approximate nearest neighbor search

Purpose

MeMemo is the first JavaScript toolkit that offloads vector storage and dense retrieval to the client—empowering a broader range of audiences to leverage cutting-edge retrieval techniques to enhance their LLM experiences.

Applications

Enables private, on-device RAG for personalized text generation without sending data to external servers. Includes RAG Playground demo application.

Resources

• GitHub: https://github.com/poloclub/mememo
• NPM Package: https://www.npmjs.com/package/mememo
• Website: https://poloclub.github.io/mememo/