the Chat Bag: Architecture, RAG, and Limits That Break Production Assistants

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Bol A short user question can carry an entire manual - and fail at the HTTP gate with 413 Request Entity Too Large before the LLM is ever called.The Chat Suitcase is Volume 1 of a practical series for engineers building corporate AI assistants: RAG, chunking, QBA, prompt budget, guardrails, LiteLLM, Ingress proxy-body-size, observability (json_bytes, of_1mb), and real pricing trade-offs.Born from production incidents - not slides - this book treats AI as logistics: who packs the suitcase, who measures it, and who fixes it when staging breaks and dev still works.If you deploy RAG without ceilings, you don't have an assistant. You have an oversized payload waiting for incident day.

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A short user question can carry an entire manual - and fail at the HTTP gate with 413 Request Entity Too Large before the LLM is ever called.The Chat Suitcase is Volume 1 of a practical series for engineers building corporate AI assistants: RAG, chunking, QBA, prompt budget, guardrails, LiteLLM, Ingress proxy-body-size, observability (json_bytes, of_1mb), and real pricing trade-offs.Born from production incidents - not slides - this book treats AI as logistics: who packs the suitcase, who measures it, and who fixes it when staging breaks and dev still works.If you deploy RAG without ceilings, you don't have an assistant. You have an oversized payload waiting for incident day.


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