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Comparison

rag-time vs llm-app

Verdict

Pick rag-time when tags unique to rag-time: ai, binary-quantization, generative-ai, gpt; pick llm-app when requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..

Markdown twin · rag-time alternatives · llm-app alternatives

GraphCanon updated today

rag-time logo

rag-time

microsoft/rag-time

★ 894pushed Jun 17, 2025
vs
llm-app logo

llm-app

pathwaycom/llm-app

★ 59kpushed Jul 5, 2026

Trust & integrity

Signalrag-timellm-app
Maintenance
Dormant (388d since push)
As of today · github_public_v1
Very active (5d 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 reportllm-app trust reportTrust methodology

Tagline

rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Stars

rag-time
894
llm-app
59k

Forks

rag-time
316
llm-app
1.4k

Open issues

rag-time
4
llm-app
10

Language

rag-time
Jupyter Notebook
llm-app
Jupyter Notebook

Adopt for

rag-time
-
llm-app
llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz

Persona

rag-time
-
llm-app
-

Runtime

rag-time
-
llm-app
-

License

rag-time
MIT
llm-app
MIT

Last pushed

rag-time
Jun 17, 2025
llm-app
Jul 5, 2026

Categories

rag-time
LLM Frameworks, Vector Databases, Inference & Serving
llm-app
LLM Frameworks, Vector Databases, Data & Retrieval

Trust and health

Maintenance

rag-time
Dormant (18%)
llm-app
Very active (96%)

Days since push

rag-time
388d
llm-app
5d

Open issues (now)

rag-time
4
llm-app
10

Full report

rag-time
Trust report
llm-app
Trust report

Choose rag-time if…

  • Tags unique to rag-time: ai, binary-quantization, generative-ai, gpt.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (4).

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 llm-app if…

  • Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
  • Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation.
  • Also covers Data & Retrieval.
  • - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.

When NOT to use llm-app

  • - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
  • - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
GitHubDetails

Explore

rag-time trust report →llm-app trust report →LLM Frameworks category →Vector Databases category →Inference & Serving category →Data & Retrieval 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 · llm-app 59k (synced Jul 11, 2026).

Common questions

What is the difference between rag-time and llm-app?
rag-time: RAG Time: A 5-week Learning Journey to Mastering RAG. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
When should I choose rag-time over llm-app?
Choose rag-time over llm-app when Tags unique to rag-time: ai, binary-quantization, generative-ai, gpt; Also covers Inference & Serving; Leaner open-issue backlog (4).
When should I choose llm-app over rag-time?
Choose llm-app over rag-time when Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
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 llm-app?
- You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Is rag-time or llm-app more popular on GitHub?
llm-app has more GitHub stars (59,068 vs 894). Stars measure visibility, not whether either tool fits your constraints.
Are rag-time and llm-app open source?
Yes - both are open-source projects on GitHub (rag-time: MIT, llm-app: MIT).
Where can I find alternatives to rag-time or llm-app?
GraphCanon lists graph-backed alternatives at rag-time alternatives and llm-app alternatives (rag-time markdown twin, llm-app 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 llm-app?
rag-time: Dormant. llm-app: 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 rag-time and llm-app?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag-time trust report; llm-app trust report.