Thank you for the pointer to LEANN! I've been experimenting with RAGs and missed this one.

I am particularly excited about using RAG as the knowledge layer for LLM agents/pipelines/execution engines to make it feasible for LLMs to work with large codebases. It seems like the current solution is already worth a try. It really makes it easier that your RAG solution already has Claude Code integration![1]

Has anyone tried the above challenge (RAG + some LLM for working with large codebases)? I'm very curious how it goes (thinking it may require some careful system-prompting to push agent to make heavy use of RAG index/graph/KB, but that is fine).

I think I'll give it a try later (using cloud frontier model for LLM though, for now...)

[1]: https://github.com/yichuan-w/LEANN/blob/main/packages/leann-...