[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Retrieval and Retrieval-augmented LLMs

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

21 Lessons, Get Started Building with Generative AI

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Free and Open Source, Distributed, RESTful Search Engine

🔎 Open source distributed and RESTful search engine.

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.