{"product_id":"rag-with-python-cookbook","title":"RAG with Python Cookbook by Dominik Polzer","description":"\u003ch2\u003eRAG with Python Cookbook by Dominik Polzer\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp data-path-to-node=\"7\"\u003eThe core philosophy of \u003ci data-path-to-node=\"7\" data-index-in-node=\"23\"\u003eRAG with Python Cookbook\u003c\/i\u003e is that \u003cb data-path-to-node=\"7\" data-index-in-node=\"56\"\u003ethe bridge between a fragile AI prototype and a robust, production-grade enterprise application lies in the precision of its retrieval pipeline.\u003c\/b\u003e While open-source tools make it simple to throw together a basic RAG system in a few lines of code, real-world deployment often fails due to poor data cleaning, irrelevant context retrieval, token bloat, or a lack of continuous evaluation. Polzer addresses these engineering bottlenecks head-on.\u003c\/p\u003e\n\u003cp data-path-to-node=\"8\" id=\"p-rc_18f2a3291342debe-66\"\u003e\u003cspan class=\"citation-145 citation-end-145\"\u003eThe handbook adopts a highly structured, hands-on learning format.\u003csup class=\"superscript\" data-turn-source-index=\"3\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e It moves systematically from raw data ingestion and advanced data chunking strategies to complex vector store configurations, semantic-aware embedding methods, multi-query prompting, and deep-dive evaluation loops. Beyond basic information retrieval, Polzer elevates the curriculum by guiding developers through the architecture of fully autonomous, tool-enabled AI agents capable of self-correcting and executing multi-step tasks using enterprise data\u003c\/p\u003e\n\u003cp data-path-to-node=\"34\"\u003eAs software engineers and enterprise teams rush to deploy generative AI solutions, they frequently find themselves trapped in an endless loop of unoptimized token costs, slow system responses, and embarrassing model hallucinations. Most available documentation lists basic API wrappers without explaining the complex engineering mechanics required to make retrieval highly accurate under enterprise pressure.\u003c\/p\u003e\n\u003cp data-path-to-node=\"35\" id=\"p-rc_18f2a3291342debe-70\"\u003e\u003cspan class=\"citation-141\"\u003e\u003c\/span\u003e\u003ci data-path-to-node=\"35\" data-index-in-node=\"0\"\u003e\u003cspan class=\"citation-141\"\u003eRAG with Python Cookbook\u003c\/span\u003e\u003c\/i\u003e\u003cspan class=\"citation-141 citation-end-141\"\u003e provides the definitive, no-nonsense, and code-heavy guide that working engineers desperately need.\u003csup class=\"superscript\" data-turn-source-index=\"7\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e \u003cspan class=\"citation-140 citation-end-140\"\u003eDominik Polzer bypasses introductory fluff to deliver structured, instantly deployable Python blueprints.\u003csup class=\"superscript\" data-turn-source-index=\"8\"\u003e\u003c!----\u003e\u003c\/sup\u003e\u003c\/span\u003e By focusing deeply on data engineering, advanced retrieval mechanisms, and automated validation frameworks, this O'Reilly volume ensures that your development team can construct highly reliable, lightning-fast AI applications. It is a vital manual for any serious machine learning workstation.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLanguage: English.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGenre: Applied Artificial Intelligence.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBinding: সেলাই করা বাইন্ডিং\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQuality: Premium Quality Books.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePrinting: High Quality Printing.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePaper: Eye Friendly paper (Cream White)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCover: Matt cover (Paperback).\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Royal Books BD","offers":[{"title":"Default Title","offer_id":47234519433401,"sku":null,"price":220.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0780\/0874\/6169\/files\/773a9a29-3c2f-4c8c-87f5-92f7a2a43b10.jpg?v=1779555845","url":"https:\/\/royalbooksbd.com\/products\/rag-with-python-cookbook","provider":"Royal Books BD","version":"1.0","type":"link"}