See retrieval, reranking, generation and evaluation as one production path rather than a single LLM call.
Reliable RAG separates retrieval quality, context assembly, model generation and evaluation. The architecture should make each stage observable so relevance, latency and hallucination risk can be measured independently.
Retrieval quality and generation quality are separate variables.
Reranking is a distinct control point for relevance.
Production systems need evaluation and telemetry in the loop.
Question
Auth + policy
Hybrid search
Indexed knowledge
Top-k refinement
Grounded generation
Quality • cost • latency
The diagram is intentionally architectural rather than vendor-specific. Use it as a mental model, then map the components to the actual environment.
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