Conversational RAG examples

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

Simple Example

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.

Graph DB Example

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.