Ship Your Product Documentation Into Customer's Chat Client

Fight Hallucination Modern LLM chat clients search the web. That is great for general knowledge. It is a problem for your product — because your internal documentation is not on the public internet, and even if parts of it are, web search retrieves whatever ranks highest, not what is authoritative. And.. did it get the document of the version your customer is using? The result: customers ask their AI assistant about your product and get plausible-sounding wrong answers. The fix is — give the AI access to your actual docs with correct info at query time. The question is how. Why Not RAG? RAG requires either the customer to build and maintain a retrieval pipeline, or the vendor to host one — a vector DB, embedding model, and retrieval API running 24/7 for a doc corpus that changes a few times a year. Either way, the infrastructure cost is disproportionate to the problem. Design Decision: Bundle the Docs Into the MCP Server MCP (Model Context Protocol) is a standard for connecting tools a