RAGFlow v0.6.0 was released this week, solving many ease-of-use and stability issues that emerged since it was open sourced earlier this April. Future releases of RAGFlow will focus on tackling the deep-seated problems of RAG capability. Hate to say it, existing RAG solutions in the market are still in POC (Proof of Concept) stage and can’t be applied directly to real production scenarios.
Implementing a long-context RAG based on RAPTOR
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