{"product_id":"building-retrieval-augmented-agents-with-dspy-declarative-rag-systems-with-python-and-llms-design-optimize-and-deploy-modular-rag-agents-with-dspy-9798288451201","title":"Building Retrieval-Augmented Agents with DSPy: Declarative RAG Systems with Python and LLMs (Design, Optimize, and Deploy Modular RAG Agents with DSPy","description":"\u003cp\u003e • Author(s): Roberto Pizzlo\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Expert Systems\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnlock the full potential of Retrieval-Augmented Generation (RAG) with \u003ci\u003eBuilding Retrieval-Augmented Agents with DSPy\u003c\/i\u003e, the definitive guide to designing modular, declarative, and self-improving AI systems using Python and large language models (LLMs).\u003c\/p\u003e\u003cp\u003eWhether you're an AI developer, machine learning engineer, backend architect, or NLP researcher, this book delivers a hands-on, end-to-end approach to constructing intelligent agents using the powerful DSPy framework. You'll learn how to build robust RAG pipelines that seamlessly integrate vector search, document chunking, tool calling, memory handling, and modular LLM orchestration-while maintaining full control over optimization and traceability.\u003c\/p\u003e\u003cp\u003eWritten by \u003cb\u003eRoberto Pizzlo\u003c\/b\u003e, a leading voice in the field of modern AI systems, this book is your launchpad into scalable, production-ready agentic workflows. With concise explanations, up-to-date DSPy examples, and best practices drawn from real-world deployments, this guide equips you to build agents that reason, retrieve, revise, and respond with precision.\u003c\/p\u003eInside You'll Learn: \u003cul\u003e\n\u003cli\u003e\u003cp\u003eHow to construct declarative RAG pipelines using DSPy's signature-driven programming\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTechniques for chunking, embedding, indexing, and hybrid retrieval using FAISS, Qdrant, and Weaviate\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eHow to integrate OpenAI, Claude, Cohere, or local LLMs via DSPy modules\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOptimizing agents using MIPROv2, BootstrapFewShot, and assertion-based correction loops\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eTool-augmented workflows combining search, calculators, summarizers, and code interpreters\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eReal-world case studies on building enterprise-grade knowledge bots\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeployment strategies with FastAPI, Docker, and local embedding models via Ollama\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eFuture directions in modular RAG, memory-augmented agents, and self-adaptive pipelines\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003eWhy This Book?\u003cp\u003eUnlike abstract theory-heavy texts, this guide focuses on practical implementation, real-world design patterns, and scalable agent infrastructure. It's built for the realities of 2024 and beyond, where precision, observability, and modular design are essential for AI production systems.\u003c\/p\u003e\u003cp\u003eIf you're working with \u003cb\u003eDSPy\u003c\/b\u003e, \u003cb\u003ePython\u003c\/b\u003e, \u003cb\u003eRAG\u003c\/b\u003e, \u003cb\u003eLLMs\u003c\/b\u003e, \u003cb\u003eretrievers\u003c\/b\u003e, \u003cb\u003evector search\u003c\/b\u003e, or frameworks like \u003cb\u003eLangChain\u003c\/b\u003e, \u003cb\u003eLlamaIndex\u003c\/b\u003e, or \u003cb\u003eAutoGen\u003c\/b\u003e, this book is a must-have resource in your AI development toolkit.\u003c\/p\u003eAbout the Author: \u003cp\u003e\u003cb\u003eRoberto Pizzlo\u003c\/b\u003e is a seasoned AI systems engineer and author with a growing portfolio of influential titles on intelligent agents, modular LLM architecture, and generative AI frameworks. Known for his clarity, technical depth, and practical insight, Pizzlo has helped thousands of professionals master cutting-edge AI technologies and deploy scalable NLP pipelines across industries.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePerfect For: \u003c\/b\u003e\u003cbr\u003eLLM engineers, AI developers, data scientists, backend teams, NLP practitioners, MLops professionals, and anyone building next-gen AI applications.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46863234924695,"sku":"9798288451201","price":1259.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798288451201.webp?v=1769969457","url":"https:\/\/atlanticbooks.com\/products\/building-retrieval-augmented-agents-with-dspy-declarative-rag-systems-with-python-and-llms-design-optimize-and-deploy-modular-rag-agents-with-dspy-9798288451201","provider":"Atlantic Books","version":"1.0","type":"link"}