Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • 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
Rag with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

Rag with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

Polzer, Dominik

Paperback

General ComputersProgramming

Publisher Price: $79.99

ISBN13: 9798341600560
Publisher: O'Reilly Media
Published: Jun 2 2026
Pages: 375
Weight: 1.32
Height: 0.78 Width: 7.00 Depth: 9.19
Language: English
As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. By combining LLMs with information retrieval, RAG empowers you to build everything from intelligent chatbots to autonomous, task-solving agents.

Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI applications through structured hands-on learning. Author Dominik Polzer provides the tools you need to design, implement, and optimize RAG systems for your unique use cases. Whether you're working with simple data retrieval or designing cutting-edge autonomous agents, this cookbook will help you stay ahead of the curve.

  • Learn core RAG components including embedding, retrieval, and generation techniques
  • Understand advanced workflows like semantic-aware chunking and multi-query prompting
  • Build custom solutions such as chatbots and autonomous agents for specific data challenges
  • Continuously evaluate and optimize systems for accuracy, relevance, and performance

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