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Comparison

rag-time vs gpt4all

Verdict

Pick rag-time when rag-time is primarily Jupyter Notebook; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; rag-time is Jupyter Notebook.

Markdown twin · rag-time alternatives · gpt4all alternatives

GraphCanon updated today

rag-time logo

rag-time

microsoft/rag-time

★ 894pushed Jun 17, 2025
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

★ 77kpushed May 27, 2025

Trust & integrity

Signalrag-timegpt4all
Maintenance
Dormant (388d since push)
As of today · github_public_v1
Dormant (409d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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
rag-time trust reportgpt4all trust reportTrust methodology

Tagline

rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Stars

rag-time
894
gpt4all
77k

Forks

rag-time
316
gpt4all
8.3k

Open issues

rag-time
4
gpt4all
768

Language

rag-time
Jupyter Notebook
gpt4all
C++

Adopt for

rag-time
-
gpt4all
-

Persona

rag-time
-
gpt4all
-

Runtime

rag-time
-
gpt4all
-

License

rag-time
MIT
gpt4all
MIT

Last pushed

rag-time
Jun 17, 2025
gpt4all
May 27, 2025

Categories

rag-time
LLM Frameworks, Vector Databases, Inference & Serving
gpt4all
LLM Frameworks, Inference & Serving

Trust and health

Days since push

rag-time
388d
gpt4all
409d

Open issues (now)

rag-time
4
gpt4all
768

Full report

rag-time
Trust report
gpt4all
Trust report

Choose rag-time if…

  • rag-time is primarily Jupyter Notebook; gpt4all is C++.
  • Tags unique to rag-time: ai, binary-quantization, generative-ai, gpt.
  • Also covers Vector Databases.

When NOT to use rag-time

  • Last GitHub push was 389 days ago (dormant maintenance, Jun 17, 2025). Validate activity before betting a new project on rag-time.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose gpt4all if…

  • gpt4all is primarily C++; rag-time is Jupyter Notebook.
  • Tags unique to gpt4all: ai-chat, c++, llm-inference.
  • More GitHub stars (77k vs 894) - 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.
GitHubDetails

Explore

rag-time trust report →gpt4all trust report →LLM Frameworks category →Vector Databases category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: rag-time 894 · gpt4all 77k (synced Jul 11, 2026).

Common questions

What is the difference between rag-time and gpt4all?
rag-time: RAG Time: A 5-week Learning Journey to Mastering RAG. 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 rag-time over gpt4all?
Choose rag-time over gpt4all when rag-time is primarily Jupyter Notebook; gpt4all is C++; Tags unique to rag-time: ai, binary-quantization, generative-ai, gpt; Also covers Vector Databases.
When should I choose gpt4all over rag-time?
Choose gpt4all over rag-time when gpt4all is primarily C++; rag-time is Jupyter Notebook; Tags unique to gpt4all: ai-chat, c++, llm-inference; More GitHub stars (77k vs 894) - visibility, not fit.
When should I avoid rag-time?
Last GitHub push was 389 days ago (dormant maintenance, Jun 17, 2025). Validate activity before betting a new project on rag-time. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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 rag-time or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 894). Stars measure visibility, not whether either tool fits your constraints.
Are rag-time and gpt4all open source?
Yes - both are open-source projects on GitHub (rag-time: MIT, gpt4all: MIT).
Where can I find alternatives to rag-time or gpt4all?
GraphCanon lists graph-backed alternatives at rag-time alternatives and gpt4all alternatives (rag-time 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, rag-time or gpt4all?
rag-time: Dormant. 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 rag-time and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag-time trust report; gpt4all trust report.