RAG Agent
RAG Agent
Section titled “RAG Agent”Retrieve and generate an action plan and execute it. Can use external tools.
What it does
Section titled “What it does”Retrieves relevant information from a knowledge base and generates answers using an LLM with optional tool usage.
When to use it
Section titled “When to use it”Use this agent when you need to answer questions using information from indexed documents or knowledge bases.
Inputs and settings
Section titled “Inputs and settings”| Setting | Notes |
|---|---|
| System message | Source-backed field from the node schema. |
| Options | Source-backed field from the node schema. |
Outputs
Section titled “Outputs”Returns node-specific output described by the implementation and visible in workflow execution data.
Dependencies and credentials
Section titled “Dependencies and credentials”- No explicit credential or node dependency is declared in the node description.
Example workflow
Section titled “Example workflow”Connect RAG Agent to an AI agent or dependency input that accepts this dependency type, then run the agent with data from previous nodes.
Troubleshooting
Section titled “Troubleshooting”- Check that required settings are present before running the node.
- If the node uses browser page data, run it on the target tab after the page has loaded.
- If it calls an external service, verify credentials, permissions, and rate limits.
- This node has source tests; use them as the reference for edge-case behavior during maintenance.