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
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 Written mainly in Go. Released under the Apache-2.0 licence.
RAG and memory — Vector databases, retrieval pipelines and the memory layers that let an agent recall things between sessions.
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