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Chapter 6 - Advanced Applications and Multi-Agent Systems

Section File Colab Kaggle
Multiple-choice question-answering agent notebook Open in Colab Open in Kaggle
LangGraph streaming notebook Open in Colab Open in Kaggle
Communication between agents notebook Open in Colab Open in Kaggle
Tree-of-thoughts (ToT) agent notebook Open in Colab Open in Kaggle
Cache on LangGraph notebook Open in Colab Open in Kaggle

📋 Kaggle Import Instructions:

To import any notebook to Kaggle:

  1. Click the Kaggle badge above
  2. Go to FileImport NotebookGitHub
  3. Paste the corresponding GitHub URL:
    • Question Answering Agent: https://github.com/benman1/generative_ai_with_langchain/blob/second_edition/chapter6/question_answering.ipynb
    • LangGraph Streaming: https://github.com/benman1/generative_ai_with_langchain/blob/second_edition/chapter6/streaming.ipynb
    • Communication Between Agents: https://github.com/benman1/generative_ai_with_langchain/blob/second_edition/chapter6/communication.ipynb
    • Tree-of-Thoughts (ToT) Agent: https://github.com/benman1/generative_ai_with_langchain/blob/second_edition/chapter6/tot.ipynb
    • Cache on LangGraph: https://github.com/benman1/generative_ai_with_langchain/blob/second_edition/chapter6/cache.ipynb

Please make sure you set up your environment with pip, conda, poetry, or docker! You can set up the keys for the different providers in a config.py as recommended in the book. Please check the setup instructions for dependencies and API keys before you start.