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O'Reilly Media, Inc
Dominik Polzer
RAG With Python Cookbook
N/A
2026
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Publisher > O'Reilly Media, Inc
Author > Dominik Polzer
Title > RAG With Python Cookbook
Issue > N/A
Year > 2026
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ISBN > 9798341600560
Pages > 433
Genre > Generative-AI
Language > English
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Type > RETAIL
Media > Book
Format > .EPUB
Section > eBook
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Published > 2026-05
Release > 2026-05-30
Disks > 04*5.0MB
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https://bookshop.org/p/books/rag-with-python-cookbook-practical-recipes-from-
data-preprocessing-to-llm-agents-dominik-polzer/44a2708f5cf9477d
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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CRC32: 34dcc81f6e8763e7cbd62dd5b57d8225fbdd6a5f