Building a Robust RAG Pipeline Architecture for Production
A RAG pipeline architecture processes documents into embeddings and retrieves relevant data for language models. Modular design and observability are crucial.
A RAG pipeline architecture connects services that process raw documents into embeddings, store them in a vector database, and retrieve relevant chunks for language model generation. Key aspects include modular design and observability, which are essential for engineers.
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