R
ragflow
infiniflow/ragflow
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
★87.0kstars
Go
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging agent-harness and agentic-ai, built with Go, open-source
Who made it?Maintained by infiniflow team, 87K⭐ on GitHub, #7 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the infiniflow team identified the need for better agent-harness solutions. ragflow was created to simplify agentic-ai workflows.
What can it do?Key use cases: agentic-retrieval, agentic-search, ai-agents
How to install with AI?Use an AI coding assistant to run go install and handle the build configuration automatically.
🔗 github.com/infiniflow/ragflow | 官网 https://ragflow.io
🔗 github.com/infiniflow/ragflow | 官网 https://ragflow.io
Topics
agent-harnessagentic-aiagentic-retrievalagentic-searchaiai-agentscontext-enginecontext-engineeringcontext-managementharness-engineeringknowledge-compilationllm-appsragretrieval-augmented-generation