AI engineering glossary · RAG vector search
What is ragas?
Ragas: An open-source framework that offers metrics for evaluating RAG pipelines, such as faithfulness, answer relevance, context precision and context recall. Many of its metrics are computed with a language model acting as judge over questions, answers and contexts.
Ragas: an example
A developer runs Ragas over 100 question-answer-context triples and gets per-metric scores.
Related terms
More RAG vector search terms
- RAPTOR
- Re-embedding
- Recall-latency trade-off
- Reciprocal rank fusion
- Recursive character splitting
- Reranker
- Reranking
- Rescoring
Where you learn it
Ragas is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.