As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Stop exporting data to external vector stores. Modern semantic search does not have to require a separate vector database. In this live webinar, you will see how to integrate Vertex AI and Cloud SQL ...

※本書巻頭巻末に収録した 「標準SQL＆DB設計Quickリファレンス」 については、 下記を参照。 本書についてSQLって何だろう？ どのように学ぶ？ 本書は、 SQL （ エスキューエル ） が 「どのようなものなのか」 「どんなことができるのか」 「なぜ、 このよう ...