{"product_id":"rag-with-python-cookbook","title":"RAG with Python Cookbook","description":"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. \u003cul\u003e - 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\u003c\/ul\u003e","brand":"Buchserien.de","offers":[{"title":"Neuware","offer_id":54087045185874,"sku":"9798341600560","price":80.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0615\/7002\/3593\/files\/unnamed_313aa2b0-2773-4ec0-932d-7849226fc3b3.jpg?v=1784907926","url":"https:\/\/www.buchserien.de\/products\/rag-with-python-cookbook","provider":"Buchserien.de","version":"1.0","type":"link"}