Comparison
graphrag-rs vs all-in-rag
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 all-in-rag if all-in-rag is a comprehensive guide for developers to learn about and implement RAG (Retrieval-Augmented Generation) technology, with a focus on end-to-end practical applications and multi-modal support. It provides an体系.
Markdown twin · graphrag-rs alternatives · all-in-rag alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | graphrag-rs | all-in-rag |
|---|---|---|
| Maintenance | Steady (50d since push) As of 4w · github_public_v1 | Active (20d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · 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-rs
- GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.
- all-in-rag
- 🔍 检索增强生成 (RAG) 技术全栈指南
Stars
- graphrag-rs
- 522
- all-in-rag
- 10k
Forks
- graphrag-rs
- 48
- all-in-rag
- 5.2k
Open issues
- graphrag-rs
- 0
- all-in-rag
- 23
Language
- graphrag-rs
- Rust
- all-in-rag
- 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.
- all-in-rag
- all-in-rag is a comprehensive guide for developers to learn about and implement RAG (Retrieval-Augmented Generation) technology, with a focus on end-to-end practical applications and multi-modal support. It provides an体系
Persona
- graphrag-rs
- -
- all-in-rag
- -
Runtime
- graphrag-rs
- -
- all-in-rag
- -
License
- graphrag-rs
- MIT
- all-in-rag
- -
Last pushed
- graphrag-rs
- Jun 2, 2026
- all-in-rag
- Jul 29, 2026
Categories
- graphrag-rs
- Data & Retrieval, LLM Frameworks
- all-in-rag
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- graphrag-rs
- Steady (60%)
- all-in-rag
- Active (82%)
Days since push
- graphrag-rs
- 50d
- all-in-rag
- 20d
Open issues (now)
- graphrag-rs
- 0
- all-in-rag
- 23
Stars delta
- graphrag-rs
- Unknown
- all-in-rag
- +815 (30d)
Open issues delta
- graphrag-rs
- Unknown
- all-in-rag
- +3 (30d)
Owner type
- graphrag-rs
- User
- all-in-rag
- Organization
Full report
- graphrag-rs
- Trust report
- all-in-rag
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; all-in-rag is Python.
- Tags unique to graphrag-rs: embeddings, entity-extraction, graphrag, 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 all-in-rag if…
- all-in-rag is primarily Python; graphrag-rs is Rust.
- Tags unique to all-in-rag: embedding, langchain, milvus, multimodal.
- - When you want a comprehensive resource that covers both the theoretical foundations and practical application of RAG.
When NOT to use all-in-rag
- - Avoid if you are looking for a solution that only focuses on theoretical aspects without practical implementation guidance.
- - If your project does not require multi-modal support or is solely focused on text-based applications, more specialized tools might provide better optimization.
- - Not suitable if you're seeking quick prototyping or a light-weight framework; all-in-rag emphasizes comprehensive learning and production-ready practices.
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 Jul 23, 2026
- GitHub forks (automataIA/graphrag-rs) · observed Jul 23, 2026
- Last push (automataIA/graphrag-rs) · observed Jun 2, 2026
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (datawhalechina/all-in-rag) · observed Aug 18, 2026
- GitHub forks (datawhalechina/all-in-rag) · observed Aug 18, 2026
- Last push (datawhalechina/all-in-rag) · observed Jul 29, 2026
- License file (unknown) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: graphrag-rs 522 · all-in-rag 10k (synced Jul 23, 2026).
Common questions
- What is the difference between graphrag-rs and all-in-rag?
- graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. all-in-rag: 🔍 检索增强生成 (RAG) 技术全栈指南. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphrag-rs over all-in-rag?
- Choose graphrag-rs over all-in-rag when graphrag-rs is primarily Rust; all-in-rag is Python; Tags unique to graphrag-rs: embeddings, entity-extraction, graphrag, knowledge-graph; Need Rust-based implementation for integration into existing Rust projects.
- When should I choose all-in-rag over graphrag-rs?
- Choose all-in-rag over graphrag-rs when all-in-rag is primarily Python; graphrag-rs is Rust; Tags unique to all-in-rag: embedding, langchain, milvus, multimodal; - When you want a comprehensive resource that covers both the theoretical foundations and practical application of RAG.
- 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 all-in-rag?
- - Avoid if you are looking for a solution that only focuses on theoretical aspects without practical implementation guidance. - If your project does not require multi-modal support or is solely focused on text-based applications, more specialized tools might provide better optimization. - Not suitable if you're seeking quick prototyping or a light-weight framework; all-in-rag emphasizes comprehensive learning and production-ready practices.
- Is graphrag-rs or all-in-rag more popular on GitHub?
- all-in-rag has more GitHub stars (10,437 vs 522). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and all-in-rag open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to graphrag-rs or all-in-rag?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and all-in-rag alternatives (graphrag-rs markdown twin, all-in-rag 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 all-in-rag?
- graphrag-rs: Steady. all-in-rag: 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 all-in-rag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; all-in-rag trust report.