Comparison
graphrag-rs vs NexusRAG
Verdict
Pick graphrag-rs if graphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust; 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.
Markdown twin · graphrag-rs alternatives · NexusRAG alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | graphrag-rs | NexusRAG |
|---|---|---|
| Maintenance | Steady (81d since push) As of 1d · github_public_v1 | Slowing (124d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 1d · 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-rs
- GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.
- NexusRAG
- Hybrid RAG system with vector search and knowledge graph
Stars
- graphrag-rs
- 526
- NexusRAG
- 497
Forks
- graphrag-rs
- 50
- NexusRAG
- 106
Open issues
- graphrag-rs
- 0
- NexusRAG
- 3
Language
- graphrag-rs
- Rust
- NexusRAG
- Python
Adopt for
- graphrag-rs
- GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust.
- 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.
Persona
- graphrag-rs
- -
- NexusRAG
- -
Runtime
- graphrag-rs
- -
- NexusRAG
- -
License
- graphrag-rs
- MIT
- NexusRAG
- -
Last pushed
- graphrag-rs
- Jun 2, 2026
- NexusRAG
- Apr 20, 2026
Categories
- graphrag-rs
- Data & Retrieval, LLM Frameworks
- NexusRAG
- Computer Vision, Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- graphrag-rs
- Steady (60%)
- NexusRAG
- Slowing (36%)
Days since push
- graphrag-rs
- 81d
- NexusRAG
- 124d
Open issues (now)
- graphrag-rs
- 0
- NexusRAG
- 3
Stars delta
- graphrag-rs
- +4 (30d)
- NexusRAG
- +163 (30d)
Open issues delta
- graphrag-rs
- 0 (30d)
- NexusRAG
- +1 (30d)
Full report
- graphrag-rs
- Trust report
- NexusRAG
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; NexusRAG is Python.
- Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag.
- Need Rust-based implementation for integration into existing Rust projects
When NOT to use graphrag-rs
- Seeking solutions that offer cloud-hosted machine learning services directly
- Projects that demand Python libraries due to ecosystem dependencies
Choose NexusRAG if…
- NexusRAG is primarily Python; graphrag-rs is Rust.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (automataIA/graphrag-rs) · observed Aug 23, 2026
- GitHub forks (automataIA/graphrag-rs) · observed Aug 23, 2026
- Last push (automataIA/graphrag-rs) · observed Jun 2, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: graphrag-rs 526 · NexusRAG 497 (synced Aug 23, 2026).
Common questions
- What is the difference between graphrag-rs and NexusRAG?
- graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. NexusRAG: Hybrid RAG system with vector search and knowledge graph. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphrag-rs over NexusRAG?
- Choose graphrag-rs over NexusRAG when graphrag-rs is primarily Rust; NexusRAG is Python; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Need Rust-based implementation for integration into existing Rust projects.
- When should I choose NexusRAG over graphrag-rs?
- Choose NexusRAG over graphrag-rs when NexusRAG is primarily Python; graphrag-rs is Rust; 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 avoid graphrag-rs?
- Seeking solutions that offer cloud-hosted machine learning services directly Projects that demand Python libraries due to ecosystem dependencies
- 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.
- Is graphrag-rs or NexusRAG more popular on GitHub?
- graphrag-rs has more GitHub stars (526 vs 497). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and NexusRAG open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to graphrag-rs or NexusRAG?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and NexusRAG alternatives (graphrag-rs markdown twin, NexusRAG 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-rs or NexusRAG?
- graphrag-rs: Steady. NexusRAG: 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-rs and NexusRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; NexusRAG trust report.