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Navigating the Vector Database Landscape
This chapter examines the growing interest in vector databases within AI and natural language processing, focusing on their integration with large language models. It discusses the advantages and trade-offs of using semantic search capabilities, the practicalities of indexing, and the maturity of various database options available in the market. Additionally, it emphasizes understanding use cases and the complexities involved in managing vector indexes to ensure optimal performance.