Chunking is very important but might, I feel, best be contextualised as one aspect of the bigger substantive challenge, which is how to prevent false negatives at the context retrieval stage - a.k.a. how to ensure your (vector? hybrid?) search returns all relevant context to the LLM’s context window.

Would you mind saying a few words on how Danswer approaches this?