Comparison
graphrag vs quivr
Verdict
Pick graphrag if graphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures; pick quivr if quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs.
Markdown twin · graphrag alternatives · quivr alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | graphrag | quivr |
|---|---|---|
| Maintenance | Very active (1d since push) As of 2d · github_public_v1 | Dormant (402d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
- quivr
- Opiniated RAG for integrating GenAI in your apps 🧠
Stars
- graphrag
- 36k
- quivr
- 39k
Forks
- graphrag
- 3.7k
- quivr
- 3.7k
Open issues
- graphrag
- 46
- quivr
- 36
Language
- graphrag
- Python
- quivr
- Python
Adopt for
- graphrag
- GraphRAG is a Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
- quivr
- Quivr is an opinionated RAG tool that simplifies GenAI integration into applications, supporting multiple LLMs and vector stores. Its framework allows for customization to fit various product needs.
Persona
- graphrag
- -
- quivr
- -
Runtime
- graphrag
- -
- quivr
- -
License
- graphrag
- MIT
- quivr
- Other
Last pushed
- graphrag
- Aug 14, 2026
- quivr
- Jul 9, 2025
Categories
- graphrag
- Data & Retrieval, LLM Frameworks
- quivr
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- graphrag
- Very active (96%)
- quivr
- Dormant (18%)
Days since push
- graphrag
- 1d
- quivr
- 402d
Open issues (now)
- graphrag
- 46
- quivr
- 36
Stars delta
- graphrag
- +1.0k (30d)
- quivr
- +188 (30d)
Open issues delta
- graphrag
- -15 (30d)
- quivr
- +5 (30d)
Full report
- graphrag
- Trust report
- quivr
- 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, gpt-4, graph, llm.
- Also covers LLM Frameworks.
- When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
When NOT to use graphrag
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
Choose quivr if…
- License: quivr is Other, graphrag is MIT.
- Pricing: The pricing details for Quivr are currently unshared..
- Requirements: Min 4 GB RAM; Requires Docker.
- Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach.
- Tags unique to quivr: ai, api, chatbot, framework.
- Also covers AI Agents.
- When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies
When NOT to use quivr
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature
- For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/graphrag) · observed Aug 16, 2026
- GitHub forks (microsoft/graphrag) · observed Aug 16, 2026
- Last push (microsoft/graphrag) · observed Aug 14, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (QuivrHQ/quivr) · observed Aug 16, 2026
- GitHub forks (QuivrHQ/quivr) · observed Aug 16, 2026
- Last push (QuivrHQ/quivr) · observed Jul 9, 2025
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: graphrag 36k · quivr 39k (synced Aug 16, 2026).
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, gpt-4, graph, llm; Also covers LLM Frameworks; When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
- When should I choose quivr over graphrag?
- Choose quivr over graphrag when License: quivr is Other, graphrag is MIT; Pricing: The pricing details for Quivr are currently unshared.; Requirements: Min 4 GB RAM; Requires Docker; Similar to GraphRAG, Quivr focuses on integration and application of GenAI, particularly through a Retrieval-Augmented Generation approach; Tags unique to quivr: ai, api, chatbot, framework; Also covers AI Agents; When you need a straightforward way to integrate GenAI functionalities without deep expertise in the underlying technologies.
- When should I avoid graphrag?
- If your application does not require or benefit from the specific graph-based approach GraphRAG employs; traditional RAG systems might be sufficient without the added layer of complexity introduced by
- When should I avoid quivr?
- When the need arises for a tool that provides extensive control over every aspect of the RAG setup due to Quivr's opinionated nature For organizations that require integration with very niche or non-supported LLMs and vector stores not mentioned in Quivr’s framework
- Is graphrag or quivr more popular on GitHub?
- quivr has more GitHub stars (39,401 vs 35,519). 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 graphrag alternatives and quivr alternatives (graphrag markdown twin, quivr markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, graphrag or quivr?
- graphrag: Very active. quivr: Dormant. 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 trust report; quivr trust report.