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

from praisonaiagents.agents import auto_rag_agent

Classes

RetrievalPolicy

Policy for when to perform RAG retrieval.

AutoRagConfig

Configuration for AutoRagAgent.

AutoRagAgent

Agent wrapper with automatic RAG retrieval decision.

Guide

Reference

Auto RAG Agent • AI Agent SDK

auto_rag_agent

Import

Classes

RetrievalPolicy

AutoRagConfig

AutoRagAgent

Agents Concept

Single Agent Guide

Multi-Agent Guide

Agent Configuration

Auto Agents

​auto_rag_agent

​Import

​Classes

RetrievalPolicy

AutoRagConfig

AutoRagAgent

​Related Documentation

Agents Concept

Single Agent Guide

Multi-Agent Guide

Agent Configuration

Auto Agents

auto_rag_agent

Import

Classes

Related Documentation