RAG vs Fine-Tuning
Deep Papers
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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