This repo contains slides and notebooks for a workshop on implementing Simple Deep Research workflow using LangGraph.
Deep Research is composed of these steps
Setup.
In order to make sure everything is setup properly, this notebook validates the keys/python env is setup
LangGraph Basics
LLM Basics.
The above notebooks covers some basics.
Research Step as a Workflow.
Research Step as a agent
The notebooks requires OpenAI and Tavily API keys.
During the workshop, a proxy server is used to avoid providing the keys.
If you want to use your keys or run the notebooks after the workshop, modify env_workshop.
Provide the keys under the section # using own keys
Seattle Coffee Shop
- Gemini , pdf
- ChatGPT , pdf
- Repo Report
For help or feedback, please reach out to :
LangChain Academy has this great course Deep Research with LangGraph , where the authors learned a lot from.