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Python LangChain for RAG Beginners: Building Powerful AI Applications with GPT Agents
Dive into the world of advanced AI with " Python LangChain for RAG Beginners" This comprehensive guide takes you on a journey through LangChain, an innovative framework designed to harness the power of Generative Pre-trained Transformers (GPTs) and other large language models (LLMs) for creating sophisticated AI-driven applications.
Starting from the basics, this book provides a detailed understanding of how to effectively use LangChain to build, customize, and deploy AI applications that can think, learn, and interact seamlessly. You will explore the core concepts of LangChain, including prompt engineering, memory management, and Retrieval Augmented Generation (RAG). Each chapter is packed with practical examples and code snippets that demonstrate real-world applications and use cases.
Key highlights
Getting Started with Learn the foundational principles and set up your environment.Advanced Prompt Craft effective prompts to enhance AI interactions.Memory Implement various memory types to maintain context and continuity in conversations.Retrieval Augmented Generation (RAG): Integrate external knowledge bases to expand your AI's capabilities.Building Intelligent Create agents that can autonomously perform tasks and make decisions.Practical Use Explore building a chat agent with web UI that allows you chatting with documents, web retrieval, vector databases for long term memory and much more !Whether you are an AI enthusiast, a developer looking to integrate AI into your projects, or a professional aiming to stay ahead in the AI-driven world, " Python LangChain for RAG Beginners" provides the tools and knowledge to elevate your AI skills. Embrace the future of AI and transform your ideas into powerful, intelligent applications with LangChain.
Starting from the basics, this book provides a detailed understanding of how to effectively use LangChain to build, customize, and deploy AI applications that can think, learn, and interact seamlessly. You will explore the core concepts of LangChain, including prompt engineering, memory management, and Retrieval Augmented Generation (RAG). Each chapter is packed with practical examples and code snippets that demonstrate real-world applications and use cases.
Key highlights
Getting Started with Learn the foundational principles and set up your environment.Advanced Prompt Craft effective prompts to enhance AI interactions.Memory Implement various memory types to maintain context and continuity in conversations.Retrieval Augmented Generation (RAG): Integrate external knowledge bases to expand your AI's capabilities.Building Intelligent Create agents that can autonomously perform tasks and make decisions.Practical Use Explore building a chat agent with web UI that allows you chatting with documents, web retrieval, vector databases for long term memory and much more !Whether you are an AI enthusiast, a developer looking to integrate AI into your projects, or a professional aiming to stay ahead in the AI-driven world, " Python LangChain for RAG Beginners" provides the tools and knowledge to elevate your AI skills. Embrace the future of AI and transform your ideas into powerful, intelligent applications with LangChain.
345 pages, Kindle Edition
Published September 20, 2024
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January 1, 2025
GREAT book introducing RAG agents
Karl has written a great introduction to RAG agents with useful real world applications as code examples. He develops the agent Max in simple steps and then adds further functionality in simple easy to follow add-ons to the code. He also explain the code step by step throughout the book and finally b presents the complete code at the end of almost all the chapters. Updated code can also be downloaded from github.com.
An excellent book and easy intro to what can be a complex topic!
Karl has written a great introduction to RAG agents with useful real world applications as code examples. He develops the agent Max in simple steps and then adds further functionality in simple easy to follow add-ons to the code. He also explain the code step by step throughout the book and finally b presents the complete code at the end of almost all the chapters. Updated code can also be downloaded from github.com.
An excellent book and easy intro to what can be a complex topic!
Displaying 1 of 1 review