Rag Agent Prompt

# RAG Agent — Ready-to-Use System Prompt

**Agent type:** AI Agent node with a vector store retrieval tool  
**Template used:** `RAG-Grounded`  
**Use case:** Answers user questions using a knowledge base (Pinecone, Supabase pgvector, Qdrant, etc.)

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## When to use this example

- Internal knowledge base chatbot (docs, SOPs, wikis)
- Customer support agent with product documentation
- Legal/compliance assistant grounded in company policies
- Any agent that must answer from a specific corpus, not from model training data

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## The prompt

Copy and paste this into the **System Prompt** field of your n8n AI Agent node.  
Replace every `[placeholder]` with your specifics.