Comparison
NexusRAG vs graphrag
Verdict
Pick NexusRAG if nexusRAG is a hybrid RAG system integrating vector search with a knowledge graph. It supports document parsing, visual intelligence (such as image/table captioning), agentic streaming chat, and inline citations; pick graphrag if graphRAG is a research-oriented modular graph-based Retrieval-Augmented Generation system designed to enhance LLM outputs with structured data extracted from unstructured text.
Markdown twin · NexusRAG alternatives · graphrag alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | NexusRAG | graphrag |
|---|---|---|
| Maintenance | Slowing (152d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- NexusRAG
- Hybrid RAG system with vector search and knowledge graph
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
Stars
- NexusRAG
- 524
- graphrag
- 36k
Forks
- NexusRAG
- 112
- graphrag
- 3.8k
Open issues
- NexusRAG
- 4
- graphrag
- 38
Language
- NexusRAG
- Python
- graphrag
- Python
Adopt for
- NexusRAG
- NexusRAG is a hybrid RAG system integrating vector search with a knowledge graph. It supports document parsing, visual intelligence (such as image/table captioning), agentic streaming chat, and inline citations.
- graphrag
- GraphRAG is a research-oriented modular graph-based Retrieval-Augmented Generation system designed to enhance LLM outputs with structured data extracted from unstructured text.
Persona
- NexusRAG
- -
- graphrag
- -
Runtime
- NexusRAG
- -
- graphrag
- -
License
- NexusRAG
- -
- graphrag
- MIT License
Last pushed
- NexusRAG
- Apr 20, 2026
- graphrag
- Sep 16, 2026
Categories
- NexusRAG
- Computer Vision, Data & Retrieval, LLM Frameworks, Vector Databases
- graphrag
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- NexusRAG
- Slowing (36%)
- graphrag
- Very active (96%)
Days since push
- NexusRAG
- 152d
- graphrag
- 1d
Open issues (now)
- NexusRAG
- 4
- graphrag
- 38
Stars delta
- NexusRAG
- +190 (30d)
- graphrag
- +506 (30d)
Open issues delta
- NexusRAG
- +2 (30d)
- graphrag
- -8 (30d)
Owner type
- NexusRAG
- User
- graphrag
- Organization
Full report
- NexusRAG
- Trust report
- graphrag
- Trust report
Choose NexusRAG if…
- Requirements: Be cautious about compatibility with specific models and dependencies, as the repository does not specify comprehensive dependency management..
- Tags unique to NexusRAG: chromadb, citation, docling, document-parsing.
- Also covers Computer Vision, Vector Databases.
- NexusRAG ships Docker support for self-hosted deployment.
- Use NexusRAG if you need to incorporate both vector search capabilities and a rich knowledge graph into your AI application.
When NOT to use NexusRAG
- Avoid using NexusRAG in scenarios where real-time processing power is limited, as agentic streaming chat and visual intelligence can be computationally intensive.
- NexusRAG might not be the best fit if your project strictly requires open-source licensing compliance due to its unknown license status.
Choose graphrag if…
- Pricing: Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations..
- Requirements: Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results..
- Tags unique to graphrag: gpt, gpt-4, gpt4, graphrag.
- When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
When NOT to use graphrag
- If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode.
- When cost is a significant concern, as GraphRAG indexing can be an expensive operation.
- If you need a production-ready, officially supported solution, as GraphRAG is a research project and not an officially supported Microsoft offering.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (LeDat98/NexusRAG) · observed Sep 20, 2026
- GitHub forks (LeDat98/NexusRAG) · observed Sep 20, 2026
- Last push (LeDat98/NexusRAG) · observed Apr 20, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/graphrag) · observed Sep 20, 2026
- GitHub forks (microsoft/graphrag) · observed Sep 20, 2026
- Last push (microsoft/graphrag) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: NexusRAG 524 · graphrag 36k (synced Sep 20, 2026).
Common questions
- What is the difference between NexusRAG and graphrag?
- NexusRAG: Hybrid RAG system with vector search and knowledge graph. graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system. See the comparison table for live GitHub stats and shared categories.
- When should I choose NexusRAG over graphrag?
- Choose NexusRAG over graphrag when Requirements: Be cautious about compatibility with specific models and dependencies, as the repository does not specify comprehensive dependency management.; Tags unique to NexusRAG: chromadb, citation, docling, document-parsing; Also covers Computer Vision, Vector Databases; NexusRAG ships Docker support for self-hosted deployment; Use NexusRAG if you need to incorporate both vector search capabilities and a rich knowledge graph into your AI application.
- When should I choose graphrag over NexusRAG?
- Choose graphrag over NexusRAG when Pricing: Free to use under the MIT License, but users should be aware of potential costs associated with indexing operations.; Requirements: Min 8 GB RAM; GraphRAG is a Python-based system and requires a Python environment.; Users should fine-tune their prompts for the best results.; Tags unique to graphrag: gpt, gpt-4, gpt4, graphrag; When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
- When should I avoid NexusRAG?
- Avoid using NexusRAG in scenarios where real-time processing power is limited, as agentic streaming chat and visual intelligence can be computationally intensive. NexusRAG might not be the best fit if your project strictly requires open-source licensing compliance due to its unknown license status.
- When should I avoid graphrag?
- If you require a tool that is actively developed and accepts new features or contributions, as GraphRAG is largely in maintenance mode. When cost is a significant concern, as GraphRAG indexing can be an expensive operation. If you need a production-ready, officially supported solution, as GraphRAG is a research project and not an officially supported Microsoft offering.
- Is NexusRAG or graphrag more popular on GitHub?
- graphrag has more GitHub stars (36,025 vs 524). Stars measure visibility, not whether either tool fits your constraints.
- Are NexusRAG and graphrag open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to NexusRAG or graphrag?
- GraphCanon lists graph-backed alternatives at NexusRAG alternatives and graphrag alternatives (NexusRAG markdown twin, graphrag 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, NexusRAG or graphrag?
- NexusRAG: Slowing. graphrag: Very active. 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 NexusRAG and graphrag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: NexusRAG trust report; graphrag trust report.