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"We built a RAG system, but where exactly does the evaluation tool fit in?" "How do we map the retrieved documents to the actual answer for validation?" The final puzzle piece in LLM service development is Architecture. It’s not just about calling an API; it’s about creating a seamless pipeline that Retrieves, Generates, and Evaluates. In this final article of our series, we present a practical blueprint for integrating AI Supervision into your RAG (Retrieval-Augmented Gene