> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Auto RAG Agent • AI Agent SDK
> AutoRagAgent - Agent with automatic RAG retrieval decision.
# auto\_rag\_agent
AI Agent
AutoRagAgent - Agent with automatic RAG retrieval decision.
This module provides an agent wrapper that automatically decides when to
retrieve context from knowledge bases vs direct chat.
Usage:
from praisonaiagents import Agent, AutoRagAgent
agent = Agent(
name="Research Assistant",
knowledge=\["docs/manual.pdf"],
)
auto\_rag = AutoRagAgent(agent=agent)
result = auto\_rag.chat("What are the key findings?") # Auto retrieves
result = auto\_rag.chat("Hello!") # Skips retrieval
## Import
```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents.agents import auto_rag_agent
```
## Classes
Policy for when to perform RAG retrieval.
Configuration for AutoRagAgent.
Agent wrapper with automatic RAG retrieval decision.
***
## Related Documentation