Home/Compare/graphrag-rs vs gpt4all

Comparison

graphrag-rs vs gpt4all

Verdict

Pick graphrag-rs when graphrag-rs is primarily Rust; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; graphrag-rs is Rust.

Markdown twin · graphrag-rs alternatives · gpt4all alternatives

GraphCanon updated today

graphrag-rs logo

graphrag-rs

automataIA/graphrag-rs

518pushed Jun 2, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalgraphrag-rsgpt4all
Maintenance
Steady (38d since push)
As of today · github_public_v1
Dormant (409d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

graphrag-rs
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural languag
gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Stars

graphrag-rs
518
gpt4all
77k

Forks

graphrag-rs
47
gpt4all
8.3k

Open issues

graphrag-rs
0
gpt4all
768

Language

graphrag-rs
Rust
gpt4all
C++

Adopt for

graphrag-rs
-
gpt4all
-

Persona

graphrag-rs
-
gpt4all
-

Runtime

graphrag-rs
-
gpt4all
-

License

graphrag-rs
MIT
gpt4all
MIT

Last pushed

graphrag-rs
Jun 2, 2026
gpt4all
May 27, 2025

Categories

graphrag-rs
Vector Databases, LLM Frameworks, Inference & Serving
gpt4all
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

graphrag-rs
Steady (60%)
gpt4all
Dormant (18%)

Days since push

graphrag-rs
38d
gpt4all
409d

Open issues (now)

graphrag-rs
0
gpt4all
768

Owner type

graphrag-rs
User
gpt4all
Organization

Full report

graphrag-rs
Trust report

Choose graphrag-rs if…

  • graphrag-rs is primarily Rust; gpt4all is C++.
  • Tags unique to graphrag-rs: graphrag, embeddings, llm, ai.
  • Also covers Vector Databases.

When NOT to use graphrag-rs

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose gpt4all if…

  • gpt4all is primarily C++; graphrag-rs is Rust.
  • Tags unique to gpt4all: ai-chat, c++, llm-inference.
  • More GitHub stars (77k vs 518) - visibility, not fit.

When NOT to use gpt4all

  • Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: graphrag-rs 518 · gpt4all 77k (synced Jul 11, 2026).

Common questions

What is the difference between graphrag-rs and gpt4all?
graphrag-rs: GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural languag. gpt4all: GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.. See the comparison table for live GitHub stats and shared categories.
When should I choose graphrag-rs over gpt4all?
Choose graphrag-rs over gpt4all when graphrag-rs is primarily Rust; gpt4all is C++; Tags unique to graphrag-rs: graphrag, embeddings, llm, ai; Also covers Vector Databases.
When should I choose gpt4all over graphrag-rs?
Choose gpt4all over graphrag-rs when gpt4all is primarily C++; graphrag-rs is Rust; Tags unique to gpt4all: ai-chat, c++, llm-inference; More GitHub stars (77k vs 518) - visibility, not fit.
When should I avoid graphrag-rs?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid gpt4all?
Last GitHub push was 410 days ago (dormant maintenance, May 27, 2025). Validate activity before betting a new project on gpt4all. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is graphrag-rs or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 518). Stars measure visibility, not whether either tool fits your constraints.
Are graphrag-rs and gpt4all open source?
Yes - both are open-source projects on GitHub (graphrag-rs: MIT, gpt4all: MIT).
Where can I find alternatives to graphrag-rs or gpt4all?
GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and gpt4all alternatives (graphrag-rs markdown twin, gpt4all 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 gpt4all?
graphrag-rs: Steady. gpt4all: 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 gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; gpt4all trust report.