RAG (Retrieval-Augmented Generation) means the assistant searches your content first, then uses those results as context to produce answers—so responses are grounded in your data instead of guesses.

Yes. We can connect knowledge bases, documents, ticketing systems, and databases—then apply access rules by role.

RAG reduces hallucinations by grounding responses in retrieved sources. We also use boundaries, fallbacks, and evaluation checks based on your use case.

Yes. We define allowed sources, apply filters and permissions, and support content governance so outputs remain aligned to approved knowledge.