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 Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
Markdown twin · NexusRAG alternatives · graphrag alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | NexusRAG | graphrag |
|---|---|---|
| Maintenance | Slowing (124d since push) As of 1d · github_public_v1 | Very active (1d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1w · 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
- NexusRAG
- Hybrid RAG system with vector search and knowledge graph
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
Stars
- NexusRAG
- 497
- graphrag
- 36k
Forks
- NexusRAG
- 106
- graphrag
- 3.7k
Open issues
- NexusRAG
- 3
- graphrag
- 46
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 Python-based tool designed for integrating retrieval and generation processes in large language models using graph structures.
Persona
- NexusRAG
- -
- graphrag
- -
Runtime
- NexusRAG
- -
- graphrag
- -
License
- NexusRAG
- -
- graphrag
- MIT
Last pushed
- NexusRAG
- Apr 20, 2026
- graphrag
- Aug 14, 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
- 124d
- graphrag
- 1d
Open issues (now)
- NexusRAG
- 3
- graphrag
- 46
Stars delta
- NexusRAG
- +163 (30d)
- graphrag
- +1.0k (30d)
Open issues delta
- NexusRAG
- +1 (30d)
- graphrag
- -15 (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…
- Tags unique to graphrag: gpt, gpt-4, graph, llm.
- When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup.
- More GitHub stars (36k vs 497) - visibility, not fit.
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
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 Aug 23, 2026
- GitHub forks (LeDat98/NexusRAG) · observed Aug 23, 2026
- Last push (LeDat98/NexusRAG) · observed Apr 20, 2026
- License file (unknown) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: NexusRAG 497 · graphrag 36k (synced Aug 23, 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 Tags unique to graphrag: gpt, gpt-4, graph, llm; When you need to leverage graph structures to enhance the efficiency of information retrieval within a Retrieval-Augmented Generation setup; More GitHub stars (36k vs 497) - visibility, not fit.
- 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 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
- Is NexusRAG or graphrag more popular on GitHub?
- graphrag has more GitHub stars (35,519 vs 497). 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.