Production RAG guides
Practical DIS AI guidance for retrieval-augmented generation systems that need permission-aware answers, auditable evidence, and clean boundaries around live customer data.
Generative AI & LLMs
Production RAG: Beyond a Vector Database
The architecture, controls, citations, observability, and evals needed for production-grade retrieval-augmented generation.
Read guide →AI Strategy & Audits
Does Customer Data Belong in RAG?
A practical guide to separating reusable knowledge from sensitive, live customer facts that belong behind authenticated APIs.
Read guide →Building a governed RAG system?
DIS AI helps teams design retrieval, access control, evals, observability, and API boundaries around real business workflows.
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