Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
PgVector in Action: Build AI-Ready Database for Semantic Search, RAG, and Hybrid Retrieval Using PostgreSQL, LangChain, and Modern AI Frameworks

PgVector in Action: Build AI-Ready Database for Semantic Search, RAG, and Hybrid Retrieval Using PostgreSQL, LangChain, and Modern AI Frameworks

Orian, Reid

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798272504944
Publisher: Independently Published
Published: Nov 1 2025
Pages: 268
Weight: 1.38
Height: 0.56 Width: 8.50 Depth: 11.00
Language: English
Pgvector in Action
Build AI-Ready Databases for Semantic Search, RAG, and Hybrid Retrieval using PostgreSQL, LangChain, and Modern AI Frameworks

Book Description:

Unlock the full power of AI-driven data retrieval by transforming your PostgreSQL database into an intelligent vector engine. Pgvector in Action is your complete, hands-on guide to building AI-ready databases that support semantic search, Retrieval-Augmented Generation (RAG), and hybrid retrieval systems using the open-source Pgvector extension.

Through clear explanations and practical labs, this book takes you from fundamental vector concepts to advanced implementations that combine PostgreSQL, LangChain, OpenAI, and Hugging Face to create high-performance, real-world AI search applications.

Inside This Book, You Will Learn How To:

- Install and configure Pgvector across platforms

- Create and index vector tables for fast semantic queries

- Generate embeddings from text, images, and multimodal data

- Build RAG pipelines with LangChain and PostgreSQL

- Combine keyword and vector search for hybrid retrieval

- Optimize database performance and query efficiency

- Design and deploy production-grade AI retrieval systems

Why Read Pgvector in Action?

- Teaches you everything from vector basics to full-stack AI integration

- Packed with hands-on labs, real-world projects, and best practices

- Perfect for developers, data engineers, and AI practitioners

- Bridges the gap between traditional databases and modern AI workflows

- Includes troubleshooting guides, optimization tips, and deployment strategies

Who This Book Is For:

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