Retrieval Augmented Generation (RAG) Explained: Understandin...

Retrieval Augmented Generation (RAG) Explained: Understanding Key Concepts

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GitHub - infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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Traditional RAG sucks because it promises "relevant chunks" but in fact returns "similar chunks". Relevancy requires reasoning. Introducing ReAG - Reasoning Augmented Generation https://t.co/DSGyGak1oi

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RAG, which stands for "Retrieval Augmented Generation," is a strategy in artificial intelligence where a large language model (LLM) retrieves relevant information from an external knowledge base (like a database or document collection) before generating a response to a user query, ensuring the response is more accurate and contextually relevant by... See more

GitHub - infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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