What is Retrieval Recall?
Retrieval Recall
Retrieval Recall is a search metric measuring the percentage of relevant documents successfully retrieved from a database relative to all existing relevant documents. High recall ensures the LLM receives all context needed to answer a query.
Detailed Deep Dive
Retrieval Recall is an information retrieval measurement that calculates the proportion of relevant documents retrieved from a database relative to the total number of relevant documents available. In RAG architectures, high recall ensures that the LLM has all the necessary source context to generate a complete answer, preventing errors of omission.
Frequently Asked Questions
Q:What is the difference between Recall and Precision?
Recall measures completeness (finding all relevant items). Precision measures purity (how many retrieved items are actually relevant).
Q:How do you increase RAG recall?
By retrieving a larger number of candidates (higher K value) or utilizing query expansion and hybrid search.
Quick Facts
- CategoryInformation Retrieval
- Key ApplicationSearch engine tuning, RAG system evaluations, and information retrieval audits
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