Why RAG
RAG answers from your documents instead of model memory - grounded, citable and cheap to keep current.
Build it
remoteagent rag create docs-agent --source ./docs remoteagent rag ask docs-agent "How do we rotate keys?"
Citations
Every answer carries the passages it used. The audit log stores the query, the retrieved chunks and the final answer.
Any model
Run RAG on a local embedding model and Llama for zero cost, or a frontier API for max quality.
Next
Learn how policies protect your documents.
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