Skip to main content

GraphRAG

👉 Use the GraphRAG Accelerator solution
👉 Microsoft Research Blog Post
👉 Read the docs
👉 GraphRAG Arxiv

Overview

The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.

To learn more about GraphRAG and how it can be used to enhance your LLM's ability to reason about your private data, please visit the Microsoft Research Blog Post.

Quickstart

To get started with the GraphRAG system we recommend trying the Solution Accelerator package. This provides a user-friendly end-to-end experience with Azure resources.

Repository Guidance

This repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offering.

⚠️ Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.

Diving Deeper

Prompt Tuning

Using GraphRAG with your data out of the box may not yield the best possible results. We strongly recommend to fine-tune your prompts following the Prompt Tuning Guide in our documentation.

Responsible AI FAQ

See RAI_TRANSPARENCY.md

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Privacy

Microsoft Privacy Statement

Metadata

Release files for graphrag 1.2.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for graphrag 1.2.4
File Size Uploaded Provenance Actions
graphrag-1.2.4.tar.gz 190.5 kB Without provenance Details for graphrag-1.2.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for graphrag 1.2.4
File Interpreter ABI Platform Actions
graphrag-1.2.4-py3-none-any.whl Python 3 none any Details for graphrag-1.2.4-py3-none-any.whl

Total release size: 538.7 kB

Release files / graphrag-1.2.4.tar.gz

Download URL graphrag-1.2.4.tar.gz
Size 190.5 kB
Tags Source
SHA-256 checksum
How to use checksums
7f354e2145132f971f0809970d2534a41abfaaaef691f868546a53eeb87d5906
BLAKE2b-256 checksum
How to use checksums
e0b52b4ce213ff13878ebfb81ebfa8bcc48fec7b14946e9cd1ed8617515aa86a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.5.1 CPython/3.14.2 Linux/6.8.0-1064-azure

Release files / graphrag-1.2.4-py3-none-any.whl

Download URL graphrag-1.2.4-py3-none-any.whl
Size 348.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2c00322786c5335dde898c32f20ef8e501ffc926f1a7a15dcccf1b38a86f7c86
BLAKE2b-256 checksum
How to use checksums
9cb366fe45a9873ff47dce464268fb8c0c42b9942b4f99e45b63fdf5b7cf3242
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.5.1 CPython/3.14.2 Linux/6.8.0-1064-azure

Security for graphrag 1.2.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.2.4 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page