Here we curate different examples of how to build a Conversational RAG agent using different approaches/backends.

This example demonstrates how to build a conversational RAG agent with "memory".

The "memory" here is stored in state, which Burr then can help you track, manage, and introspect.

This demo illustrates how to build a RAG Q&A AI agent over the UFC stats dataset. This one uses a Knowledge Graph that is stored in FalkorDB to query for information about UFC fighters and fights.