Last week, we had some guests at work and one of them presented a multi-agent model for creating database queries with some clever documentation retrievals. It was very exciting and something I've wanted to do, so I decided to take some steps and familiarize myself with some of the concepts. I learn best by practicing, though, so I set out to do a simple hack day project: a way to create a retrieval augmented generation (RAG) application that would take some notes I have from our multi-year Dungeons and Dragons (DnD) campaign and generate appropriate responses when passed through an AI large language model (LLM).
Let's go through what I ended up building.
You can also follow along by looking through the GitHub repo for it: https://github.com/dr-rodriguez/ollama-ttrpg-query
