RAG with Python Cookbook
Practical Recipes from Data Preprocessing to LLM Agents
$167.91
- Paperback
400 pages
- Release Date
31 May 2026
Summary
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 ap…
Book Details
| ISBN-13: | 9798341600560 |
|---|---|
| Author: | Dominik Polzer |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 400 |
| Release Date: | 31 May 2026 |
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About The Author
Dominik Polzer
Dominik is a Machine Learning Engineer who has spent years bringing Machine Learning to life in established industry companies like Siemens and Siemens Energy. His career began with researching and applying traditional ML techniques for Forecasting and Anomaly Detection, and has since shifted toward GenAI use cases. Today, Dominik is leading various initiatives across the organization, leveraging Foundation Models and customized RAG systems to improve and automate existing business processes. When he’s not driving digital transformation, Dominik shares his expertise through his popular Medium blog, where he simplifies complex Machine Learning concepts into easy-to-digest pieces.
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