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landing_page/qdrant-landing/content/retrieval-augmented-generation/rag-evaluation-guide-about.md
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How to evaluate a RAG system This guide will teach you how to evaluate a RAG system for both accuracy and quality. Stages prone to errors You will learn to maintain RAG performance by testing for:
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0 Search precision
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1 Recall
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2 Contextual relevance
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3 Response accuracy.
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/img/rag-evaluation-guide/stages.svg Stages
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Information retrieval This stage involves searching and fetching relevant information from a knowledge base or external sources.
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/icons/outline/integration-blue.svg Integration
Information augmentation In this stage, the retrieved information is processed and combined with the original query
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/icons/outline/vectors-blue.svg Vectors
Generating responses Using the augmented information, the language model generates a response to the original query.
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Download the Guide #form
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