Answer Questions With RAG

Overview

The Basic RAG Agent workflow provides informative answers by searching a custom knowledge base for relevant documents. When a question comes in, the AI agent retrieves matching content from your document collection and generates a helpful, grounded response — or lets the user know if the answer isn't available.

This is ideal for anyone who wants quick, accurate answers sourced directly from their own documents.

What It Does

1. Triggers the workflow when a question is received via a webhook.
2. Searches a document collection for relevant information using built-in retrieval tools.
3. Generates a context-aware response based on the retrieved documents.

What You Need

• A Needle platform account to create and run workflows.
• A prepared document collection (e.g., about agentic AI or any topic you choose).
• A webhook endpoint set up to receive user questions.

How the Flow Works

Output

You get a text response generated by the AI agent, grounded in relevant documents found in your knowledge base. If no pertinent information is found, the agent will inform the user accordingly.

Notes

• Make sure your document collection is well-maintained and up to date to improve answer quality.
• Adjust the temperature setting in the AI node if you want more creative or more precise responses.
• The prompt can be customized to better match your domain or communication style.
• You can swap in a different document collection by updating the collection ID in the AI node's tool configuration.