Skip to main content

Common utilities and types for GraphRAG

Project description

GraphRAG Common

This package provides utility modules for GraphRAG, including a flexible factory system for dependency injection and service registration, and a comprehensive configuration loading system with Pydantic model support, environment variable substitution, and automatic file discovery.

Factory module

The Factory class provides a flexible dependency injection pattern that can register and create instances of classes implementing a common interface using string-based strategies. It supports both transient scope (creates new instances on each request) and singleton scope (returns the same instance after first creation).

Open the notebook to explore the factory module example code

Config module

The load_config function provides a comprehensive configuration loading system that automatically discovers and parses YAML/JSON config files into Pydantic models with support for environment variable substitution and .env file loading. It offers flexible features like config overrides, custom parsers for different file formats, and automatically sets the working directory to the config file location for relative path resolution.

Open the notebook to explore the config module example code

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphrag_common-3.0.9.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

graphrag_common-3.0.9-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

File details

Details for the file graphrag_common-3.0.9.tar.gz.

File metadata

  • Download URL: graphrag_common-3.0.9.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.17

File hashes

Hashes for graphrag_common-3.0.9.tar.gz
Algorithm Hash digest
SHA256 bda893261d042a7a1b4a5292730f6aa673307a10fced20d04257359992bd79d4
MD5 87dcd2b09f9fe4b55744869cb2d96f2c
BLAKE2b-256 3cbea20abe482d6a9919cc42469ab90908f83047adfbe62f8bd652989dce2f4b

See more details on using hashes here.

File details

Details for the file graphrag_common-3.0.9-py3-none-any.whl.

File metadata

File hashes

Hashes for graphrag_common-3.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 65c2dac8899228cf76e043611ca008dba318bfebaba1495eeb0167106d99e1f9
MD5 964b3fd98b16a7ed889a9f8dbd048ed0
BLAKE2b-256 65ce7636e27622546c8ca91aa8b036fec957a4f9cc44b2a1da89d3d1f7c89830

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page