AI engineering glossary · RAG vector search
What is context recall?
Context recall: A RAG evaluation measure of how much of the information needed for the reference answer is present in the retrieved context. Low recall means the retriever missed key facts, so the generator cannot answer completely.
Context recall: an example
If a reference answer has 4 facts and the context contains 3, context recall is 0.75.
Related terms
More RAG vector search terms
- Context relevance
- Contextual chunk enrichment
- Contextual retrieval
- Conversational RAG
- Corrective RAG
- Cosine distance
- Dense retrieval
- DiskANN
Where you learn it
Context recall is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.