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
pip install ragflow</a>
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<a href="https://x.com/intent/follow?screen_name=infiniflowai" target="_blank">
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<a href="https://demo.ragflow.io" target="_blank">
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
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<a href="https://deepwiki.com/infiniflow/ragflow">
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<a href="https://ragflow.io/docs/dev/">Document</a> |
<a href="https://github.com/infiniflow/ragflow/issues/12241">Roadmap</a> |
<a href="https://twitter.com/infiniflowai">Twitter</a> |
<a href="https://discord.gg/NjYzJD3GM3">Discord</a> |
<a href="https://demo.ragflow.io">Demo</a>
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<a href="https://trendshift.io/repositories/9064" target="_blank"><img src="https://
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