exactly! if doc is larger you can still prune with the vector search, so you may not need to chain. but you could also load more documents and do a map-reduce chain over them. See these docs for QA in general: https://
langchain.readthedocs.io/en/latest/use_
cases/question_answering.html
… and let us know if any questions!
Vector Search and Map-Reduce Chains for Document Question Answering
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