LlamaIndex-Agent

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc. Maintained by swastikmaiti on GitHub, where it has earned 14 stars from the community.

It's actively developed around agentic-rag, agentic-workflow, gradio, and is a solid reference for anyone building with these tools.