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Book Overview & Buying
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Table Of Contents
AI-Ready PostgreSQL 18
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As AI workloads become mainstream, they pose a new challenge for databases. In the age of AI, databases don't just store data and handle business transactions; they must also understand the meaning of the polymorphic content they store and leverage its semantics to derive new insights.
As we saw in the previous chapter, vectors are a powerful tool for capturing the embedded meaning of data, and vector-based calculations are the building blocks for recommendation engines and many other applications that rely on AI-based semantic processing.
In this chapter, we will show that combining semantic, AI-based processing with relational operations in PostgreSQL creates a unified reasoning engine capable of powering search, personalization, anomaly detection, recommendations, and AI-assisted decision systems at scale.
We will explore multi-modal reasoning, high-performance hybrid query designs, indexing strategies...