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 upWhat teams say
★★★★★
“They didn't lead with retrieval augmented generation. They started with the job we needed done and only brought it in where it fit. The result: we handled 40% more volume with the same headcount.”
★★★★★
“We didn't need to become experts in retrieval augmented generation. They explained what it meant for us in plain English, built it, and the agent paid for itself in five weeks.”
★★★★★
“Our security team sent 60 questions about retrieval augmented generation. Every answer was specific to our setup and came back in writing within the week. We signed, and we're saving about $6,000 a month against the hire we'd budgeted for.”
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