zlacker

I've implemented a very similar RAG hybrid solution, and it has improved LLM responses enormously. There are other things you can do too that have huge improvements, like destructuring your data and placing it into a graph structure, with queryable edge relationships. I think we're just scratching the surface.

>>throwa+(OP)
This is really interesting, do you have other recommendations for improvements (gladly with sources I you have any)? I have to build a RAG solution for my job and right now I am collecting information to determine the best way to go ahead.

>>Mkengi+7a
I'm exploring tooling for building these graphs and would love to pick your brain about your use case, if you're willing. No pressure! wade at tractorbeam dot ai