🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
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Updated
Oct 31, 2025 - TypeScript
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Add long-term memory to any AI in minutes. Self-hosted, open, and framework-free.
Enterprise-grade and API-first LLM workspace for unstructured documents, including data extraction, redaction, rights management, prompt playground, and more!
A NodeJS RAG framework to easily work with LLMs and embeddings
A dead-simple API to build LLM-powered apps
Your Local Artificial Memory on your Device.
Semantic Search on Wikipedia with Upstash Vector
Mercury - Train your own custom GPT. Chat with any file, or website.
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
JavaScript/Typescript SDK for Qdrant Vector Database
Quickly and easily build AI website or application by using embeddings!
A Modern GUI Interface for Vector Database Management(Supports MCP integration)
Client Side Vector Database
🦉⚡️Serverless, distributed vector database as an API
The official TypeScript/Node client for the Pinecone vector database
Memento MCP: A Knowledge Graph Memory System for LLMs
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