There are a couple of things that can help. As has been pointed out by other commenters - chunking up content is very useful. The other often neglected approac

There are a couple of things that can help. As has been pointed out by other commenters - chunking up content is very useful. The other often neglected approach is to use an LLM to derive new content and use the embedding of this as well. E.g. ask the LLM “give me a list of questions that can be answered by the following passage” You then use embeddings of the generated questions instead of embeddings of the original content.