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
LLMs in Practice: Building RAG Assistants with Embeddings and Vector Databases: From Vector Search to Real-World AI Assistants

LLMs in Practice: Building RAG Assistants with Embeddings and Vector Databases: From Vector Search to Real-World AI Assistants

Chen, Weiming

Paperback

General ComputersProgramming

ISBN13: 9798261786542
Publisher: Independently Published
Published: Dec 17 2025
Pages: 184
Weight: 0.56
Height: 0.39 Width: 6.00 Depth: 9.00
Language: English

Build real-world AI assistants, not just toy demos.

LLMs in Practice shows you, step by step, how to build retrieval-augmented generation (RAG) systems with embeddings and vector databases, then turn them into production-ready assistants that search, reason, and take action.

Instead of hand-wavy theory, this book walks through a complete stack: ingesting documents, chunking and embedding them, storing vectors, wiring up retrieval, designing grounded prompts, evaluating quality, logging behaviour, securing data, adding tools, and finally deploying everything as a service. Along the way, you see the same patterns implemented in both Python and TypeScript, so you can work in whichever ecosystem you prefer.

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