I'm working on a AI RAG (retrieval augmented generation) system: https://longtermemory.com

It's a tool that use QDrant, a vectorial db, to embedding the texts chunks: LLM api is questioned to generate the Q&A pairs from a chunked texts.

Each chunk is then embedded and stored in the vectorial db to facilitate the Q&A generation, thanks to better context informations.

This tool helping people to study everything thanks to even Spaced Repetition algorithm.