RAG vs Fine-Tuning
Deep Papers
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Implementing RAG in Production
This chapter discusses the challenges and complications associated with implementing the Retrieval Augmented Generation (RAG) method in production, including indexing methods, embedding models, look-up or similarity scores, ranking of relevant documents, and response evaluations. It emphasizes the costly and complex nature of RAG systems and the ongoing efforts to debug their implementation.
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