GraphRAG

Index of GraphRAG

To ensure experimental consistency and command availability, please follow these instructions to install GraphRAG:

conda create -n graphrag python=3.9
conda activate graphrag
pip install graphrag==1.2.0

graphrag init --root path/to/main_folder

This will create two files in the main_folder directory:

• .env: Contains environment variables for the GraphRAG pipeline

  • Defines GRAPHRAG_API_KEY=<API_KEY> for OpenAI/Azure OpenAI authentication
  • Replace with your own API key
  • Delete file if using alternate authentication (e.g. managed identity)

• settings.yaml: Contains configurable pipeline settings

  • Modify to customize pipeline behavior

More details about GraphRAG configuration and usage can be found in the official documentation.

Then index by running

graphrag index --root path/to/main_folder

Answer and Evaluation

First, prepare your test questions according to the benchmark format. You’ll need to create a test set parquet file containing questions and their corresponding answer keys. Once ready, you can run the evaluation with:

python -m /eval/eval_graph -f path/to/main_folder -q path/to/question_parquet