# retrieval-augmented-generation

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

LightRAGは、大量の文書をAIに読み込ませて「賢く質問に答えられる仕組み」を簡単に作れるツールです。従来のRAG（検索拡張生成：AIが質問に答える前に関連情報を検索して参照する技術）に加え、文書中の人物・組織・場所などの関係性を「知識

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

"RAG-Anything: All-in-One RAG Framework"

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

Open-source inference server and production cluster for all the models your agent needs.