Introduction to LLM Agents with LangChain

Level: Beginner

Presentation: Slides

Workshop description

Welcome to the workshop on building LLM agents with LangChain!

With this notebook you will familiarize yourself with the key concepts of an LLM agent using LangChain. At the end, you will have all the code you need for your very own agent and you will be able to build custom tools for your own use-case.

Requirements

• Python 3.8 or higher
• Jupyter notebook or jupyter-lab

Setting up your environment

• Clone the repository with git clone https://github.com/pyladiesams/introduction-to-llm-agents-with-langchain-jun2024
• Set up a virtual environment using virtualenv:
  • pip install virtualenv
  • Install environment: python3 -m venv venv
  • Activate enviroment: source venv/bin/activate
  • Install dependencies in environment: pip install -r requirements.txt
  • Select venv kernel in your notebook

API keys

API keys can abe accessed via this privatebin. The password will be shared during the workshop.

Make sure to paste the API keys into the file helper_functions/keys.py before running the notebook. You are ready to go now!

Video record

Re-watch Link

Credits

This workshop was set up by Ana Chaloska (Git, LinkedIn) and Maria Bader, PhD, (Git, LinkedIn) and it was powered by pyladiesams.