Comparison
graphrag-rs vs HippoRAG
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 HippoRAG if hippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents.
Markdown twin · graphrag-rs alternatives · HippoRAG alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | graphrag-rs | HippoRAG |
|---|---|---|
| Maintenance | Steady (50d since push) As of 4w · github_public_v1 | Very active (3d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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.
- HippoRAG
- HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents.
Stars
- graphrag-rs
- 522
- HippoRAG
- 3.9k
Forks
- graphrag-rs
- 48
- HippoRAG
- 416
Open issues
- graphrag-rs
- 0
- HippoRAG
- 7
Language
- graphrag-rs
- Rust
- HippoRAG
- 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.
- HippoRAG
- HippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents.
Persona
- graphrag-rs
- -
- HippoRAG
- -
Runtime
- graphrag-rs
- -
- HippoRAG
- -
License
- graphrag-rs
- MIT
- HippoRAG
- MIT
Last pushed
- graphrag-rs
- Jun 2, 2026
- HippoRAG
- Jul 29, 2026
Categories
- graphrag-rs
- Data & Retrieval, LLM Frameworks
- HippoRAG
- LLM Frameworks, Model Training
Trust and health
Maintenance
- graphrag-rs
- Steady (60%)
- HippoRAG
- Very active (96%)
Days since push
- graphrag-rs
- 50d
- HippoRAG
- 3d
Open issues (now)
- graphrag-rs
- 0
- HippoRAG
- 7
Owner type
- graphrag-rs
- User
- HippoRAG
- Organization
OSV dependency advisories
- graphrag-rs
- No lockfile (source not queried)
- HippoRAG
- Published findings
Full report
- graphrag-rs
- Trust report
- HippoRAG
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; HippoRAG is Python.
- Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag.
- Also covers Data & Retrieval.
- 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 HippoRAG if…
- HippoRAG is primarily Python; graphrag-rs is Rust.
- Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank.
- Also covers Model Training.
- When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge
When NOT to use HippoRAG
- If your application does not require continuous integration of external documents or personalized information retrieval
- For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements
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 (OSU-NLP-Group/HippoRAG) · observed Aug 1, 2026
- GitHub forks (OSU-NLP-Group/HippoRAG) · observed Aug 1, 2026
- Last push (OSU-NLP-Group/HippoRAG) · observed Jul 29, 2026
- License file (MIT) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: graphrag-rs 522 · HippoRAG 3.9k (synced Jul 23, 2026).
Common questions
- What is the difference between graphrag-rs and HippoRAG?
- graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. HippoRAG: HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphrag-rs over HippoRAG?
- Choose graphrag-rs over HippoRAG when graphrag-rs is primarily Rust; HippoRAG is Python; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Also covers Data & Retrieval; Need Rust-based implementation for integration into existing Rust projects.
- When should I choose HippoRAG over graphrag-rs?
- Choose HippoRAG over graphrag-rs when HippoRAG is primarily Python; graphrag-rs is Rust; Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank; Also covers Model Training; When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge.
- 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 HippoRAG?
- If your application does not require continuous integration of external documents or personalized information retrieval For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements
- Is graphrag-rs or HippoRAG more popular on GitHub?
- HippoRAG has more GitHub stars (3,902 vs 522). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and HippoRAG open source?
- Yes - both are open-source projects on GitHub (graphrag-rs: MIT, HippoRAG: MIT).
- Where can I find alternatives to graphrag-rs or HippoRAG?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and HippoRAG alternatives (graphrag-rs markdown twin, HippoRAG 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 HippoRAG?
- graphrag-rs: Steady. HippoRAG: 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 HippoRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; HippoRAG trust report.