Thank you so much for providing these langchain links! Exactly what I needed.
I tried to explain a little bit in layman terms how embeddings work and how they can be used.
I think summarizing everything before “needing them” might be an expensive overkill, as it is significantly more expensive than embeddings.
I am thinkibg about creating “rolling” embeddings with 2k-long overlap, so whenever I detect this “long but interesting document part” I can process only it doing iterations. I will test the approach in the next days