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Revolutionizing Database Management with Vector Search
This chapter explores vector search and its transformative role in artificial intelligence, emphasizing the significance of embeddings for semantic data querying. It highlights the growing integration of vector capabilities into traditional databases like SQLite, showcasing their evolution and multi-tenancy features. The discussion extends to cost-efficient database management, comparing SQLite's advantages over traditional systems, and how tools like Git have influenced modern architectures.