This repository contains slides and notebooks for a hands-on workshop on implementing a Deep Research workflow with LangGraph.
Deep Research is composed of the following steps:
Validates that the API keys and Python environment are configured correctly.
Introduces the LangGraph and LLM concepts used throughout the workshop.
The notebooks require OpenAI and Tavily API keys.
During the workshop, a proxy server is used to avoid providing the keys.
To use your own keys or run the notebooks after the workshop, modify env_workshop and provide the keys under the # using own keys section.
Seattle coffee shops:
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The authors learned from LangChain Academy's Deep Research with LangGraph course.