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Automating Document Search and Summarization with Large Language Models
This chapter explores the process of using large language models (LLMs) to automate tasks such as searching and summarizing documents. It discusses how LLMs can segment and store documents in vector databases, enabling semantic search and similarity comparisons. The chapter also mentions the accessibility of this technology through startups and the importance of personalization and control over secure internal data.