I'm curious about this too as I've been working with a 1300 page document on procedures for [industry]. Where every single section is primarily about [industry]

I'm curious about this too as I've been working with a 1300 page document on procedures for [industry]. Where every single section is primarily about [industry] with minor differences in verbs actions etc for the procedures. I've found with traditional embeddings that obviously you're getting an average of the content of the chunk even with the semantic awareness magic. And our (or I guess the) core problem seems to be a lack of enough contrast between chunks with makes one-shot pure embedding based RAG extremely difficult and low quality.