Comparison
graphrag-rs vs rag-time
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 rag-time if rAG Time is tailored for those looking to systematically learn and apply Retrieval-Augmented Generation techniques in a structured 5-week program.
Markdown twin · graphrag-rs alternatives · rag-time alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | graphrag-rs | rag-time |
|---|---|---|
| Maintenance | Steady (50d since push) As of 4w · github_public_v1 | Dormant (401d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 4w · 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.
- rag-time
- RAG Time: A 5-week Learning Journey to Mastering RAG
Stars
- graphrag-rs
- 522
- rag-time
- 893
Forks
- graphrag-rs
- 48
- rag-time
- 316
Open issues
- graphrag-rs
- 0
- rag-time
- 4
Language
- graphrag-rs
- Rust
- rag-time
- Jupyter Notebook
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.
- rag-time
- RAG Time is tailored for those looking to systematically learn and apply Retrieval-Augmented Generation techniques in a structured 5-week program.
Persona
- graphrag-rs
- -
- rag-time
- -
Runtime
- graphrag-rs
- -
- rag-time
- -
License
- graphrag-rs
- MIT
- rag-time
- The MIT License provides freedom to use, copy, modify and distribute the software provided that copyright and license information are retained.
Last pushed
- graphrag-rs
- Jun 2, 2026
- rag-time
- Jun 17, 2025
Categories
- graphrag-rs
- Data & Retrieval, LLM Frameworks
- rag-time
- Data & Retrieval, LLM Frameworks, Model Training
Trust and health
Maintenance
- graphrag-rs
- Steady (60%)
- rag-time
- Dormant (18%)
Days since push
- graphrag-rs
- 50d
- rag-time
- 401d
Open issues (now)
- graphrag-rs
- 0
- rag-time
- 4
Owner type
- graphrag-rs
- User
- rag-time
- Organization
Full report
- graphrag-rs
- Trust report
- rag-time
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; rag-time is Jupyter Notebook.
- 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 rag-time if…
- rag-time is primarily Jupyter Notebook; graphrag-rs is Rust.
- Requirements: Min 8 GB RAM.
- Tags unique to rag-time: generative-ai, hybrid-search, indexing, language-model.
- Also covers Model Training.
- When you need a detailed, week-by-week learning path specifically focused on the nuances of RAG techniques, from basics to advanced applications.
When NOT to use rag-time
- If you prefer ad-hoc or self-directed learning without a structured timeline. Other tools may offer more flexible formats, which can be preferable if adhering to strict schedules is not ideal.
- When your focus is solely on either indexing or generation models and not the integration of both for RAG. In this case, specialized resources for just indexing or model training might suffice.
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 (microsoft/rag-time) · observed Jul 23, 2026
- GitHub forks (microsoft/rag-time) · observed Jul 23, 2026
- Last push (microsoft/rag-time) · observed Jun 17, 2025
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: graphrag-rs 522 · rag-time 893 (synced Jul 23, 2026).
Common questions
- What is the difference between graphrag-rs and rag-time?
- graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. rag-time: RAG Time: A 5-week Learning Journey to Mastering RAG. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphrag-rs over rag-time?
- Choose graphrag-rs over rag-time when graphrag-rs is primarily Rust; rag-time is Jupyter Notebook; 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 rag-time over graphrag-rs?
- Choose rag-time over graphrag-rs when rag-time is primarily Jupyter Notebook; graphrag-rs is Rust; Requirements: Min 8 GB RAM; Tags unique to rag-time: generative-ai, hybrid-search, indexing, language-model; Also covers Model Training; When you need a detailed, week-by-week learning path specifically focused on the nuances of RAG techniques, from basics to advanced applications.
- 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 rag-time?
- If you prefer ad-hoc or self-directed learning without a structured timeline. Other tools may offer more flexible formats, which can be preferable if adhering to strict schedules is not ideal. When your focus is solely on either indexing or generation models and not the integration of both for RAG. In this case, specialized resources for just indexing or model training might suffice.
- Is graphrag-rs or rag-time more popular on GitHub?
- rag-time has more GitHub stars (893 vs 522). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and rag-time open source?
- Yes - both are open-source projects on GitHub (graphrag-rs: MIT, rag-time: MIT).
- Where can I find alternatives to graphrag-rs or rag-time?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and rag-time alternatives (graphrag-rs markdown twin, rag-time 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 rag-time?
- graphrag-rs: Steady. rag-time: Dormant. 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 rag-time?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; rag-time trust report.