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generative_ai_with_langchain

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

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pythonllamacpplanggraphJupyter Notebookhuggingfacemakedockergptdeepseek-r1chatgptllmsopenaigpt-4olangchainclaude-3-5-sonnetagent-frameworkdeepseekclaudeollamaagent

This is the companion repository for the book on generative AI with LangChain, containing Jupyter Notebook material for building LLM applications and agents with Python, LangChain, and LangGraph. It covers multiple model providers including OpenAI, Anthropic, DeepSeek, Hugging Face, and local runtimes like Ollama and llama.cpp.

You reach for it to follow the book's code examples hands-on while learning to build LLM apps and agents.

Use it to

  • Follow along with the book's code examples
  • Build LLM applications with LangChain
  • Build advanced agents with LangGraph
  • Experiment with multiple model providers
  • Run examples locally with Ollama or llama.cpp

For Readers of the book and Python developers learning LangChain

Role
agent-framework
Language
Jupyter Notebook
Licence
MIT
Forks
586
Last push
2026-08-14
topicslangchainlanggraphllmsagentspythonbook-companion