Making Your RAG Solution Better

So you have implemented a RAG solution, and maybe you even put up evaluations around it. Great! We have talked about those things before in this group. But once you have those things in place, what if your evaluations tell you your solution is not cutting it? Where are the knobs you can turn and levers you can pull in your AI application that are going to make the difference?

Come join Grey Lovelace from Source Allies as we dive in to this and break down the 3 areas we can make changes, and what some of those changes can look like such as:
- Hybrid search
- Reranking
- Self-querying retrievers