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    RAGAS
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    Research-backed RAG evaluation framework providing metrics for context precision, recall, faithfulness, and response relevancy to objectively measure LLM application performance.

    Context Precision

    RAG evaluation metric assessing retriever's ability to rank relevant chunks higher than irrelevant ones, measuring context relevance and ranking quality for optimal retrieval.

    Cosine Similarity

    Widely-used similarity metric measuring the cosine of the angle between two vectors, preferred for semantic search where direction matters more than magnitude, with values from -1 to +1.

    Euclidean Distance

    Straight-line distance metric between vectors in multidimensional space, sensitive to both magnitude and direction, ideal when embedding magnitude carries important information.

    Dot Product Similarity

    Vector similarity metric combining both angle and magnitude information for comprehensive similarity measurement, equivalent to cosine similarity when vectors are normalized.

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    All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
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