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
Ranked by AgentPick Score, our data score from public GitHub activity. Description is the project's own.
Topics: agent-harness, agentic-ai, agentic-nagive, agentic-retrieval, agentic-search, ai, ai-agents, context-engine, context-engineering, context-management, harness-engineering, knowledge-compilation
Starter prompt
Try RAGFlow on one small, low-risk task: [task]. Tell me what worked, what didn't, and how long it took.
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