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[GitHub Trending] infiniflow/ragflow

7.8 relevance
Score Breakdown
technical depth
8
novelty
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actionability
8
community
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strategic
7
personal
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RAGFlow is a leading open-source RAG engine with agent capabilities, directly matching AI/ML and data engineering interests.

AI/ML github.com
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 - infiniflow/ragflow
Summary

RAGFlow, an open-source RAG engine on GitHub, combines deep document understanding with agentic workflows and MCP support to build production-ready AI systems. It features template-based chunking, grounded citations, and an orchestrated ingestion pipeline, supporting heterogeneous data sources like Confluence, S3, and Google Drive. The latest updates add multi-channel chat (Feishu, Discord, Telegram), AI agent memory, and a Python/JavaScript code executor, with self-hosting requiring Docker and at least 4 CPU cores and 16 GB RAM.

Author

infiniflow