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Book Overview & Buying
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Table Of Contents
AI-Ready PostgreSQL 18
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This chapter demonstrated that combining vectors and SQL inside PostgreSQL is not only possible—it is strategically advantageous.
Vectors bring meaning. SQL brings structure. Together, they enable multi-modal reasoning.
We explored how hybrid queries allow applications to think semantically while respecting the business logic encoded in relational models. We studied indexing, filtering strategies, hybrid ranking, vector joins, and real-world patterns across retail, finance, telecom, and manufacturing.
The message is simple: AI doesn't eliminate the need for SQL. AI makes SQL more important. And SQL makes AI truly usable. With pgvector and PostgreSQL, you get a single, unified engine that can retrieve, reason, filter, rank, and decide—all within the comfort and stability of a trusted relational platform. This fusion marks a new chapter in database evolution: a database that not only stores data but also understands it.
The next chapter teaches...