{"product_id":"generative-ai-apps-with-langchain-and-python-a-project-based-approach-to-building-real-world-llm-apps-for-beginners-9798868808814","title":"Generative AI Apps with Langchain and Python: A Project-Based Approach to Building Real-World LLM Apps for Beginners","description":"\u003cp\u003e • Author(s): Rabi Jay\u003cbr\u003e • Publisher: Apress\u003cbr\u003e • Publisher Imprint: Apress\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eFuture-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.\u003c\/p\u003e \u003cp\u003eProjects 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.\u003c\/p\u003e \u003cp\u003e\u003cem\u003eDeveloping LangChain-based Generative AI LLM Apps with Python\u003c\/em\u003e 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.\u003c\/p\u003e \u003cp\u003eYou will: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand different types of LLMs and how to select the right ones for responsible AI.\u003c\/li\u003e \u003cli\u003eStructure effective prompts.\u003c\/li\u003e \u003cli\u003eMaster LangChain concepts, such as chains, models, memory, and agents.\u003c\/li\u003e \u003cli\u003eApply embeddings effectively for search, content comparison, and understanding similarity.\u003c\/li\u003e \u003cli\u003eSetup and integrate Pinecone vector database for indexing, structuring data, and search.\u003c\/li\u003e \u003cli\u003eBuild Q \u0026amp; A applications for multiple doc formats.\u003c\/li\u003e \u003cli\u003eDevelop multi-step AI workflow apps using LangChain agents.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Apress","offers":[{"title":"Paperback","offer_id":45141207318679,"sku":"9798868808814","price":4407.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798868808814.webp?v=1768545333","url":"https:\/\/atlanticbooks.com\/products\/generative-ai-apps-with-langchain-and-python-a-project-based-approach-to-building-real-world-llm-apps-for-beginners-9798868808814","provider":"Atlantic Books","version":"1.0","type":"link"}