The original title is "Building an Internal AI Knowledge Assistant Your Team Can Actually Trust"

Short summary

A practical guide to building a trustworthy internal AI knowledge assistant using retrieval-augmented generation (RAG). The article covers ingestion, retrieval, and generation architecture, emphasizing that answer quality depends more on retrieval precision than model choice. Key recommendations include mandatory citation of sources, role-based access filtering, audit logging, and starting with a narrow deployment before scaling.

• •RAG architecture: ingestion, retrieval, generation — retrieval precision matters more than model choice
• •Mandatory source citations make hallucinations visible; filter retrieval by user permissions
• •Start narrow with one topic area, maintain test sets, and audit log all queries

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