RAG Applications
Retrieval-augmented generation so answers stay tied to your approved knowledge.
Overview
RAG is how a model looks things up before it speaks. The hard parts are chunking, permissions, evaluation and showing sources people can check.
Where it helps
- Policy assistants
- Product documentation Q&A
- Support deflection
- Internal research
What we offer
- Corpus design
- Retrieval tuning
- Citations
- Freshness and re-index jobs
Frequently asked questions
Will RAG stop all incorrect answers?
It reduces invention when the answer is in the corpus, but it does not eliminate errors. We add citations, refusals and review for high-risk answers.
Have a Project in Mind?
Talk to Vexora about applying this AI capability to a workflow you already run.