AI Knowledge-Base Agent (RAG)
Grounded Q&A over your docs: returns an LLM answer with sources and an honest "not in the docs" fallback — the answer core for a RAG bot (plug in your own retrieval step).
Overview
Webhook (question + context) → OpenAI answers from the provided context and cites the source, with an honest "not in the docs" fallback → responds directly to the caller. You supply the retrieval step that fills "context" (e.g. a vector search over your docs); this template is the grounded answer-and-respond core.
What's included
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
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