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GraphRAG Development

Requirements

Name Installation Purpose
Python 3.10 or 3.11 Download The library is Python-based.
Poetry Instructions Poetry is used for package management and virtualenv management in Python codebases

Getting Started

Install Dependencies

# install python dependencies
poetry install

Execute the indexing engine

poetry run poe index <...args>

Execute prompt tuning

poetry run poe prompt_tune <...args>

Execute Queries

poetry run poe query <...args>

Repository Structure

An overview of the repository's top-level folder structure is provided below, detailing the overall design and purpose. We leverage a factory design pattern where possible, enabling a variety of implementations for each core component of graphrag.

graphrag
├── api             # library API definitions
├── cache           # cache module supporting several options
│    └─ factory.py  #  └─ main entrypoint to create a cache
├── callbacks       # a collection of commonly used callback functions
├── cli             # library CLI
│    └─ main.py     #  └─ primary CLI entrypoint
├── config          # configuration management
├── index           # indexing engine
|    └─ run/run.py  #  main entrypoint to build an index
├── logger          # logger module supporting several options
│    └─ factory.py  #  └─ main entrypoint to create a logger
├── model           # data model definitions associated with the knowledge graph
├── prompt_tune     # prompt tuning module 
├── prompts         # a collection of all the system prompts used by graphrag
├── query           # query engine
├── storage         # storage module supporting several options
│    └─ factory.py  #  └─ main entrypoint to create/load a storage endpoint
├── utils           # helper functions used throughout the library
└── vector_stores   # vector store module containing a few options
     └─ factory.py  #  └─ main entrypoint to create a vector store

Where appropriate, the factories expose a registration method for users to provide their own custom implementations if desired.

Versioning

We use semversioner to automate and enforce semantic versioning in the release process. Our CI/CD pipeline checks that all PR's include a json file generated by semversioner. When submitting a PR, please run:

poetry run semversioner add-change -t patch -d "<a small sentence describing changes made>."

Azurite

Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running:

./scripts/start-azurite.sh

or by simply running azurite in the terminal if already installed globally. See the Azurite documentation for more information about how to install and use Azurite.

Lifecycle Scripts

Our Python package utilizes Poetry to manage dependencies and poethepoet to manage custom build scripts.

Available scripts are:

  • poetry run poe index - Run the Indexing CLI
  • poetry run poe query - Run the Query CLI
  • poetry build - This invokes poetry build, which will build a wheel file and other distributable artifacts.
  • poetry run poe test - This will execute all tests.
  • poetry run poe test_unit - This will execute unit tests.
  • poetry run poe test_integration - This will execute integration tests.
  • poetry run poe test_smoke - This will execute smoke tests.
  • poetry run poe check - This will perform a suite of static checks across the package, including:
    • formatting
    • documentation formatting
    • linting
    • security patterns
    • type-checking
  • poetry run poe fix - This will apply any available auto-fixes to the package. Usually this is just formatting fixes.
  • poetry run poe fix_unsafe - This will apply any available auto-fixes to the package, including those that may be unsafe.
  • poetry run poe format - Explicitly run the formatter across the package.

Troubleshooting

"RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config" when running poetry install

Make sure llvm-9 and llvm-9-dev are installed:

sudo apt-get install llvm-9 llvm-9-dev

and then in your bashrc, add

export LLVM_CONFIG=/usr/bin/llvm-config-9

"numba/_pymodule.h:6:10: fatal error: Python.h: No such file or directory" when running poetry install

Make sure you have python3.10-dev installed or more generally python<version>-dev

sudo apt-get install python3.10-dev

LLM call constantly exceeds TPM, RPM or time limits

GRAPHRAG_LLM_THREAD_COUNT and GRAPHRAG_EMBEDDING_THREAD_COUNT are both set to 50 by default. You can modify this values to reduce concurrency. Please refer to the Configuration Documents