Business · PyPI

dgraphrag

End-to-end GraphRAG toolkit that takes you from raw documents to a knowledge graph and then to retrieval-augmented generation (RAG) with large language models.

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Details

Author
Longtao Wu
GitHub profile
@eust-w
Category
Business
Platform
PyPI
GitHub
https://github.com/eust-w/dgraphrag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@eust-w

Overview

End-to-end GraphRAG toolkit that takes you from raw documents to a knowledge graph and then to retrieval-augmented generation (RAG) with large language models.

Quick start

pip

pip install dgraphrag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What dgraphrag can do

llmragretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is dgraphrag?
End-to-end GraphRAG toolkit that takes you from raw documents to a knowledge graph and then to retrieval-augmented generation (RAG) with large language models.
How do I install dgraphrag?
Use pip: `pip install dgraphrag`. Full setup details on the source page linked above.
Is dgraphrag open source?
dgraphrag is published on PyPI.
What are alternatives to dgraphrag?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dgraphrag is sourced from PyPI, published by Longtao Wu.

Last scraped: · First indexed:

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