generative_ai_with_langchain

Why we included this project

Generative AI with LangChain is the companion repository for the second edition of the Packt book, and it doubles as a practical, hands-on curriculum for teams trying to move LLM prototypes into production. Each chapter directory holds notebooks and Python scripts that walk through the LangChain ecosystem in order, starting with the framework and LangGraph workflows and moving on to RAG with hybrid search and re-ranking, multi-agent setups, evaluation, and deployment with observability. Developers and tech leads who learn better by running real code than by reading framework docs will get the most out of it. The repo keeps branches aligned to different LangChain versions, so the code you follow actually matches the release you are using. If you are a small team deciding how to structure agentic systems, the worked examples of multi-agent coordination and agent handoffs give you something concrete to adapt.