Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) combines external information retrieval with large language models to produce more factual and up-to-date responses. The concept integrates search, indexing and reranking components with generative models and defines interfaces, evaluation criteria and governance for knowledge-intensive applications. RAG addresses answer…
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- Concept combining information retrieval with generative language models to provide more factual and up-to-date responses.
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