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graphrag vs quivr

graphrag (A modular graph-based Retrieval-Augmented Generation (RAG) system) vs quivr (Opiniated RAG for integrating GenAI in your apps) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · graphrag alternatives · quivr alternatives

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graphrag

microsoft/graphrag

★ 34kpushed Jun 22, 2026

quivr

QuivrHQ/quivr

★ 39kpushed Jul 9, 2025

Tagline

graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system
quivr: Opiniated RAG for integrating GenAI in your apps

Stars

graphrag: 34k
quivr: 39k

Forks

graphrag: 3.6k
quivr: 3.7k

Open issues

graphrag: 158
quivr: 29

Language

graphrag: Python
quivr: Python

Adopt for

graphrag: GraphRAG offers a specialized graph-based approach to Retrieval-Augmented Generation (RAG) using the power of Large Language Models (LLMs) for enhancing unstructured data transformation and reasoning over private data.
quivr: Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied

Persona

graphrag: -
quivr: -

Runtime

graphrag: -
quivr: -

License

graphrag: MIT
quivr: Other

Last pushed

graphrag: Jun 22, 2026
quivr: Jul 9, 2025

	graphrag	quivr
Tagline	A modular graph-based Retrieval-Augmented Generation (RAG) system	Opiniated RAG for integrating GenAI in your apps
Stars	34k	39k
Forks	3.6k	3.7k
Open issues	158	29
Language	Python	Python
Adopt for	GraphRAG offers a specialized graph-based approach to Retrieval-Augmented Generation (RAG) using the power of Large Language Models (LLMs) for enhancing unstructured data transformation and reasoning over private data.	Quivr is an opinionated RAG framework for integrating Generative AI into apps, emphasizing customizability and compatibility with multiple LLMs and vectorstores. It allows for quick setup and customization to meet varied
Persona	-	-
Runtime	-	-
License	MIT	Other
Last pushed	Jun 22, 2026	Jul 9, 2025
Categories	Data & Retrieval, Model Training	Data & Retrieval, LLM Frameworks
Trust and health
Maintenance	Active (82%)	Slowing (36%)
Days since push	16d	363d
Open issues (now)	158	29
Full report	Trust report	Trust report
Typed relationship	graphrag alternative quivrSimilar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach.

Choose graphrag if…

License: graphrag is MIT, quivr is Other.
Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach.
Tags unique to graphrag: gpt-4, gpt, graph-based rag system.
Also covers Model Training.
- When you need to extract structured information from narrative or private data using LLMs and require a modular, graph-based system. - For projects that involve handling sensitive datasets where the

When NOT to use graphrag

- Avoid GraphRAG if your project requires minimal setup and cost since GraphRAG's indexing process can be resource-intensive.
- Not recommended for scenarios with extremely large datasets or when low latency is critical as this tool may pose significant computational demands.

GitHub Details

Choose quivr if…

License: quivr is Other, graphrag is MIT.
Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach.
Tags unique to quivr: ai, vector, api, framework.
Also covers LLM Frameworks.
You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.

When NOT to use quivr

If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch.
When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs.
Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.

GitHub Details

Explore

graphrag trust report →quivr trust report →Data & Retrieval category →Model Training category →LLM Frameworks category →All comparisons Stack workflows Trending tools

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Common questions

What is the difference between graphrag and quivr?: graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. quivr: Opiniated RAG for integrating GenAI in your apps. See the comparison table for live GitHub stats and shared categories.
When should I choose graphrag over quivr?: Choose graphrag over quivr when License: graphrag is MIT, quivr is Other; Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach; Tags unique to graphrag: gpt-4, gpt, graph-based rag system; Also covers Model Training; - When you need to extract structured information from narrative or private data using LLMs and require a modular, graph-based system. - For projects that involve handling sensitive datasets where the.
When should I choose quivr over graphrag?: Choose quivr over graphrag when License: quivr is Other, graphrag is MIT; Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach; Tags unique to quivr: ai, vector, api, framework; Also covers LLM Frameworks; You need a customizable RAG solution that supports multiple types of files and can integrate easily with different LLMs.
When should I avoid graphrag?: - Avoid GraphRAG if your project requires minimal setup and cost since GraphRAG's indexing process can be resource-intensive. - Not recommended for scenarios with extremely large datasets or when low latency is critical as this tool may pose significant computational demands.
When should I avoid quivr?: If your application strictly demands a non-opinionated approach to RAG where every detail must be manually configured from scratch. When you require proprietary or highly restricted licensing terms, as Quivr has a 'Other' license that may not align with these needs. Your project is limited to only specific LLMs not compatible with Quivr's broad support, such as certain bespoke models not covered by its wide umbrella.
Is graphrag or quivr more popular on GitHub?: quivr has more GitHub stars (39,190 vs 34,249). Stars measure visibility, not whether either tool fits your constraints.
Are graphrag and quivr open source?: Yes - both are open-source projects on GitHub (graphrag: MIT, quivr: Other).
Where can I find alternatives to graphrag or quivr?: GraphCanon lists graph-backed alternatives at /tools/microsoft-graphrag/alternatives and /tools/quivrhq-quivr/alternatives (/tools/microsoft-graphrag/alternatives.md, /tools/quivrhq-quivr/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?: Yes. The markdown twin at /compare/microsoft-graphrag-vs-quivrhq-quivr.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, graphrag or quivr?: graphrag: Active. quivr: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for graphrag and quivr?: GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag: /tools/microsoft-graphrag/trust; quivr: /tools/quivrhq-quivr/trust.