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RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

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

A modular graph-based Retrieval-Augmented Generation (RAG) system

AI Agent 开发指南 | Agent Harness | 上下文工程 | 高级 RAG | MCP | Agentic RL 强化学习 | LangGraph 实战 | 1.2 万+ 大模型面试题 | 算法岗 / 开发岗求职 | 转行大模型

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

World's first open-source enterprise world model.

Neo4j graph construction from unstructured data using LLMs

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

The AI Governance Platform for Agents, Knowledge, and Context

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟

[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.