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
Quick read
Latest capture 2026-10-16 04:46
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
9 paths
Agent instructions and tool configuration found in this repository.
Agent instructions 2
Agent workspace 6
GitHub Copilot
49 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +11077
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
An open-source RAG-based tool for chatting with your documents.
