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Overview
Ragas builds an open source framework for evaluating retrieval augmented generation systems. Founded in 2023, its metrics for faithfulness and context relevance became a de facto standard in the field. The company offers a managed platform on top of the open source library.
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Ragas: Automated Evaluation of Retrieval Augmented Generation
Abstract page for arXiv paper 2309.15217: Ragas: Automated Evaluation of Retrieval Augmented Generation
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GraphRAG Analysis, Part 1: How Indexing Elevates Vector Database Performance in RAG When Using Neo4j
A deep dive on Microsoft's GraphRAG paper found questionable metrics with vaguely defined lift, so I analyzed knowledge graphs in RAG overall using Neo4j vs FAISS
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Tackling the Explainability Gap in RAG Hallucination Evals Dynamo AI Blog
Improve RAG retrieval and generation accuracy by 20% and discover valuable insights for model enhancement
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