{"product_id":"rag-with-python-cookbook-practical-recipes-from-data-preprocessing-to-llm-agents-paperback","title":"Rag with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDominik Polzer\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eAs 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. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn core RAG components including embedding, retrieval, and generation techniques \u003c\/li\u003e\n\u003cli\u003eUnderstand advanced workflows like semantic-aware chunking and multi-query prompting \u003c\/li\u003e\n\u003cli\u003eBuild custom solutions such as chatbots and autonomous agents for specific data challenges \u003c\/li\u003e\n\u003cli\u003eContinuously evaluate and optimize systems for accuracy, relevance, and performance\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 375\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.78 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 02, 2026\u003c\/div\u003e\n            \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53511363756339,"sku":"9798341600560","price":93.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/x1eQof6Qo59798341600560.webp?v=1781771022","url":"https:\/\/www.vysn.com\/products\/rag-with-python-cookbook-practical-recipes-from-data-preprocessing-to-llm-agents-paperback","provider":"VYSN","version":"1.0","type":"link"}