About this ebook
Generative AI with LangChain is a practical, hands-on guide designed for students, software developers, AI engineers, and professionals who want to build real-world AI applications using the LangChain framework. Whether you are new to Large Language Models (LLMs) or looking to develop advanced AI-powered solutions, this book takes you from the fundamentals to production-ready applications through clear explanations and practical examples.
You'll learn how to integrate powerful LLMs such as OpenAI, Hugging Face, Mistral, Gemini, Groq, and other popular models into intelligent applications. The book covers prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, document processing, conversational AI, AI agents, memory management, structured outputs, and workflow automation using LangGraph.
Every chapter includes practical examples, code snippets, and real-world projects that help you understand not only how to use LangChain but also why each concept matters in building scalable AI systems.
What You'll Learn
Fundamentals of Generative AI and Large Language Models (LLMs)
Installing and configuring LangChain
Working with OpenAI, Hugging Face, Mistral, Gemini, and Groq models
Prompt Engineering techniques and best practices
Prompt Templates and Chat Prompt Templates
Output Parsers and Structured Outputs
Document Loaders and Document Processing
Text Splitting strategies
Embeddings and Semantic Search
Vector Databases including FAISS, ChromaDB, and Pinecone
Retrieval-Augmented Generation (RAG)
Building conversational AI applications
Memory management in LangChain
Chains, LCEL, and Runnables
Tools and Function Calling
AI Agents and Agent Executors
Multi-Agent Systems
LangGraph for Agentic AI workflows
Human-in-the-Loop workflows
Streaming responses and callbacks
Evaluation, debugging, and optimization
Deploying AI applications to production
Best practices for secure, scalable AI development
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About the author
Arvind Choudhary is an experienced Software Developer, Corporate Trainer, and Technology Mentor from India with around 12 years of professional experience in the IT industry. He has worked extensively for 8 years as a developer and 4 years as a corporate trainer, helping students, professionals, and organizations build strong technical skills in modern software technologies.
He specializes in Java Full Stack Development, Python Full Stack Development, MERN Stack, Flutter, Android Development, Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Agentic AI, AI Agents, and Android Firmware Development.
Throughout his career, Arvind Choudhary has trained and mentored numerous students and working professionals through live projects, practical implementation, industry-focused training, and real-world application development. His teaching approach focuses on simplifying complex technical concepts into easy-to-understand practical learning experiences.
As an author and trainer, he is passionate about sharing knowledge in emerging technologies including Generative AI, AI Automation, Prompt Engineering, Large Language Models (LLMs), and modern software engineering practices. His goal is to help learners become industry-ready developers and technology innovators.
Arvind Choudhary continues to contribute to the technology community through technical training, content creation, software development, and educational initiatives focused on next-generation technologies.
