Retrieval Augmented Generation, explained
RAG keeps an agent’s answers grounded in your data instead of its training memory.
Why it matters for agents
Before answering, the agent retrieves the most relevant facts from your content and answers from those, with citations.
How we use it in production
Every knowledge and support agent we build runs on RAG over your docs.
See where it shows upWant the technical detail?
Our team walks your engineers and reviewers through the whole stack.