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SETUP.md

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Setup

This repository accompanies the Mastering Retrieval-Augmented Generation (RAG) workshop on GraphAcademy.

When the devcontainer is created, such as in a GitHub codespace, all the required software and packages will be installed.

Follow the Getting Started instructions in GraphAcademy to get started.

You will need to:

  1. Create a new .env file and copy the contents of the .env.example file into it
  2. Update the environment values in the .env file with the values in the [Getting Started instructions(https://graphacademy.neo4j.com/courses/genai-workshop-graphrag/1-knowledge-graphs-vectors/1-getting-started/)
  3. Run the test_environment.py program to check the environment is set up correctly.