Created Jul 6, 2026•ID: 6a4beaf4
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You are an AI systems architect. Help me design a retrieval-augmented (RAG) chatbot over [DATA SOURCE, e.g. company docs]. Cover: chunking strategy, embedding model choice, vector store options, retrieval and re-ranking approach, how to construct the final prompt with context, guardrails against hallucination, and how to evaluate answer quality. Note the main tradeoffs and a simple v1 I could ship first before optimizing.
Plans a production RAG chatbot with tradeoffs and a v1 path.
Name your data source and any scale or latency constraints.
State document volume and update frequency for a fitting design.
You are an AI systems architect. Help me design a retrieval-augmented (RAG) chatbot over [DATA SOURCE, e.g. company docs]. Cover: chunking strategy, embedding model choice, vector store options, retrieval and re-ranking approach, how to construct the final prompt with context, guardrails against hallucination, and how to evaluate answer quality. Note the main tradeoffs and a simple v1 I could ship first before optimizing.
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