pip install takes too long and has dependency issues

[nchandhi]

Do you need to file an issue?

• I have searched the existing issues and this bug is not already filed.
• My model is hosted on OpenAI or Azure. If not, please look at the "model providers" issue and don't file a new one here.
• I believe this is a legitimate bug, not just a question. If this is a question, please use the Discussions area.

Describe the issue

Hi graphrag team, I have been trying to use graphrag by installing it from pypi. The installation takes up to 10 minutes (most times lot more time). I was finally able to get it to work locally in my virtual environment. But when I try to build a solution with it, I need to install and process data either through a bicep deployment script or as an azure function. This has been very painful process to build/debug/unit test because every install takes forever. The same applies to creating functions for querying. Please consider simplifying the dependencies and the time it takes to install graphrag.

Steps to reproduce

To reproduce, please run - pip install graphrag in VScode or any choice of editor terminal.

GraphRAG Config Used

# Paste your config here

Logs and screenshots

No response

Additional Information

• GraphRAG Version: latest version or 0.3.6
• Operating System: Windows
• Python Version: 3.11
• Related Issues:

[jgbradley1]

This is just a suggestion - have you considered using containerized azure functions? Building a based image with graphrag installed would significantly reduce your development cycle.