Comparison
graphrag-rs vs graphrag
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 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 · graphrag-rs alternatives · graphrag alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | graphrag-rs | graphrag |
|---|---|---|
| Maintenance | Slowing (109d 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
- graphrag-rs
- GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.
- graphrag
- A modular graph-based Retrieval-Augmented Generation (RAG) system
Stars
- graphrag-rs
- 527
- graphrag
- 36k
Forks
- graphrag-rs
- 50
- graphrag
- 3.8k
Open issues
- graphrag-rs
- 0
- graphrag
- 38
Language
- graphrag-rs
- Rust
- graphrag
- 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.
- 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
- graphrag-rs
- -
- graphrag
- -
Runtime
- graphrag-rs
- -
- graphrag
- -
License
- graphrag-rs
- MIT
- graphrag
- MIT License
Last pushed
- graphrag-rs
- Jun 2, 2026
- graphrag
- Sep 16, 2026
Categories
- graphrag-rs
- Data & Retrieval, LLM Frameworks
- graphrag
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- graphrag-rs
- Slowing (36%)
- graphrag
- Very active (96%)
Days since push
- graphrag-rs
- 109d
- graphrag
- 1d
Open issues (now)
- graphrag-rs
- 0
- graphrag
- 38
Stars delta
- graphrag-rs
- +5 (30d)
- graphrag
- +506 (30d)
Open issues delta
- graphrag-rs
- 0 (30d)
- graphrag
- -8 (30d)
Owner type
- graphrag-rs
- User
- graphrag
- Organization
Full report
- graphrag-rs
- Trust report
- graphrag
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; graphrag is Python.
- Tags unique to graphrag-rs: ai, embeddings, entity-extraction, knowledge-graph.
- 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 graphrag if…
- graphrag is primarily Python; graphrag-rs is Rust.
- 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, llms.
- 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 (automataIA/graphrag-rs) · observed Sep 20, 2026
- GitHub forks (automataIA/graphrag-rs) · observed Sep 20, 2026
- Last push (automataIA/graphrag-rs) · observed Jun 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 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: graphrag-rs 527 · graphrag 36k (synced Sep 20, 2026).
Common questions
- What is the difference between graphrag-rs and graphrag?
- graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. 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 graphrag-rs over graphrag?
- Choose graphrag-rs over graphrag when graphrag-rs is primarily Rust; graphrag is Python; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, knowledge-graph; Need Rust-based implementation for integration into existing Rust projects.
- When should I choose graphrag over graphrag-rs?
- Choose graphrag over graphrag-rs when graphrag is primarily Python; graphrag-rs is Rust; 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, llms; When you need to extract meaningful, structured data from unstructured text using the power of LLMs.
- 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 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 graphrag-rs or graphrag more popular on GitHub?
- graphrag has more GitHub stars (36,025 vs 527). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and graphrag open source?
- Yes - both are open-source projects on GitHub (graphrag-rs: MIT, graphrag: MIT).
- Where can I find alternatives to graphrag-rs or graphrag?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and graphrag alternatives (graphrag-rs 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, graphrag-rs or graphrag?
- graphrag-rs: 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 graphrag-rs and graphrag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; graphrag trust report.