{"product_id":"jay-rabi-generative-ai-apps-with-langchain-and-python-9798868808814","title":"Generative AI Apps with LangChain and Python","description":"Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level.\n\u003cbr\u003e\nProjects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you'll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries.\n\u003cbr\u003e\nDeveloping LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you'll learn-by-be doing, enhancing your career possibilities in today's rapidly evolving landscape.\n\u003cbr\u003e\nWhat You Will Learn\n\u003cbr\u003e\nUnderstand different types of LLMs and how to select the right ones for responsible AI.\n\u003cbr\u003e\nStructure effective prompts.\n\u003cbr\u003e\nMaster LangChain concepts, such as chains, models, memory, and agents.\n\u003cbr\u003e\nApply embeddings effectively for search, content comparison, and understanding similarity.\n\u003cbr\u003e\nSetup and integrate Pinecone vector database for indexing, structuring data, and search.\n\u003cbr\u003e\nBuild Q \u0026amp; A applications for multiple doc formats.\n\u003cbr\u003e\nDevelop multi-step AI workflow apps using LangChain agents.\n\u003cbr\u003e\nWho This Book Is For\n\u003cbr\u003e\nPython programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.\n\u003cbr\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":54842342900054,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9798868808814_1_e5b5fca3-3311-44f4-924d-188f16bb9e4c.jpg?v=1791136078","url":"https:\/\/www.momoxbooks.com\/products\/jay-rabi-generative-ai-apps-with-langchain-and-python-9798868808814","provider":"momox","version":"1.0","type":"link"}