Building AI Apps with LangChain: From Chatbots to RAG and Beyond with Python and LLMs
Artificial intelligence is transforming every industry, and the ability to build applications powered by large language models is quickly becoming one of the most valuable skills for developers and professionals alike. Yet the landscape is complex, fast-moving, and often difficult to navigate. This book provides the clarity, structure, and practical guidance you need to master LangChain and create production-ready AI solutions with confidence.
Through a carefully designed progression, you will learn how to construct intelligent chatbots, implement Retrieval-Augmented Generation (RAG) for knowledge-driven systems, and leverage Python to integrate advanced LLM capabilities into real-world applications. Each concept is reinforced with hands-on examples, ensuring that theory is always tied to practice.
Unlike scattered tutorials or superficial introductions, this book delivers a complete, end-to-end learning experience. It equips beginners with a strong foundation while offering advanced insights and strategies for experienced developers who want to push beyond the basics. By the final chapter, you will not only understand the principles of building AI-powered applications-you will have the skills to design, deploy, and scale them effectively.
If you are serious about building practical AI applications, this book is your essential guide. Clear, structured, and actionable, it will help you move beyond experimentation and position you at the forefront of modern AI development.