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PostgreSQL 18 for Automated AI Pipelines. Automate Embedding, Optimize Vector Search, and Scale Your Data Architecture with Confidence (en Inglés)
Stan Bird
PostgreSQL 18 for Automated AI Pipelines. Automate Embedding, Optimize Vector Search, and Scale Your Data Architecture with Confidence (en Inglés)
Stan Bird (Autor) · Independently published · Tapa Blanda
Quedan 100 unidades
$ 41.00PostgreSQL 18 for Automated AI Pipelines. Automate Embedding, Optimize Vector Search, and Scale Your Data Architecture with Confidence (en Inglés)
Stan Bird
Unlock the full potential of your AI systems, without the complexity of fragmented tools.
PostgreSQL 18 for Automated AI Pipelines is a hands-on, production-focused guide that shows you how to build scalable, secure, and fully automated AI data architectures directly inside PostgreSQL. If you're tired of juggling vector databases, brittle ETL pipelines, and costly cloud dependencies, this book offers a powerful alternative: a unified, database-centric approach to modern AI engineering.
Designed for software engineers, data architects, and backend developers, this book walks you step-by-step through creating AI-native pipelines that automate embedding generation, optimize vector search, and power high-performance Retrieval-Augmented Generation (RAG) systems. You'll learn how to store, index, and query high-dimensional embeddings alongside relational data-eliminating synchronization issues and ensuring consistent, real-time intelligence.
Inside, you'll discover how to:
Build automated embedding pipelines using triggers, background workers, and in-database orchestrationImplement pgvector and pgvectorscale for high-speed, scalable vector searchDesign robust schemas for machine learning and RAG workloadsCreate hybrid search systems that combine semantic and keyword retrievalScale your infrastructure with disk-based indexing, compression, and async I/O tuningSecure sensitive AI data with row-level security, RBAC, and auditing strategiesMonitor performance with real-time metrics like precision@k, recall@k, and embedding driftUnlike theory-heavy AI books, this guide focuses on practical implementation using SQL, PostgreSQL extensions, and real-world architectural patterns. From event-driven pipelines to resilient API handling with asynchronous queues, every concept is grounded in production-ready solutions you can apply immediately.
Whether you're building intelligent search, autonomous agents, or enterprise-grade AI systems, this book equips you with the tools to scale confidently, reduce costs, and maintain full control over your data.
Stop duct-taping your AI stack together. Start building smarter-with PostgreSQL at the core.
Get your copy today and transform your database into a powerful AI engine.
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