Agentic strategies

You can build agents on top of your existing LlamaIndex RAG pipeline to empower it with automated decision capabilities. A lot of modules (routing, query transformations, and more) are already agentic in nature in that they use LLMs for decision making.

This section shows you how to deploy a full agent loop, capable of chain-of-thought and query planning, on top of existing RAG query engines as tools for more advanced decision making.

• Build your own OpenAI Agent
• OpenAI Agent with Query Engine Tools
• Retrieval-Augmented OpenAI Agent
• OpenAI Agent + Query Engine Experimental Cookbook
• OpenAI Agent Query Planning
• Context-Augmented OpenAI Agent