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Comparison

llm-app vs rag-web-ui

Verdict

Pick llm-app when llm-app is primarily Jupyter Notebook; rag-web-ui is TypeScript; pick rag-web-ui when rag-web-ui is primarily TypeScript; llm-app is Jupyter Notebook.

Markdown twin · llm-app alternatives · rag-web-ui alternatives

GraphCanon updated today

llm-app logo

llm-app

pathwaycom/llm-app

★ 59kpushed Jul 5, 2026
vs
rag-web-ui logo

rag-web-ui

rag-web-ui/rag-web-ui

★ 3.1kpushed Apr 6, 2026

Trust & integrity

Signalllm-apprag-web-ui
Maintenance
Very active (5d since push)
As of 4d · github_public_v1
Slowing (99d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No lockfile (source not queried)
As of today · 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
llm-app trust reportrag-web-ui trust reportTrust methodology

Tagline

llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
rag-web-ui
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

Stars

llm-app
59k
rag-web-ui
3.1k

Forks

llm-app
1.4k
rag-web-ui
346

Open issues

llm-app
10
rag-web-ui
17

Language

llm-app
Jupyter Notebook
rag-web-ui
TypeScript

Adopt for

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
rag-web-ui
-

Persona

llm-app
-
rag-web-ui
-

Runtime

llm-app
-
rag-web-ui
-

License

llm-app
MIT
rag-web-ui
Apache-2.0

Last pushed

llm-app
Jul 5, 2026
rag-web-ui
Apr 6, 2026

Categories

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

Trust and health

Maintenance

llm-app
Very active (96%)
rag-web-ui
Slowing (36%)

Days since push

llm-app
5d
rag-web-ui
99d

Open issues (now)

llm-app
10
rag-web-ui
17

Full report

llm-app
Trust report
rag-web-ui
Trust report

Choose llm-app if…

  • llm-app is primarily Jupyter Notebook; rag-web-ui is TypeScript.
  • License: llm-app is MIT, rag-web-ui is Apache-2.0.
  • 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: chatbot, hugging-face, llm, retrieval-augmented-generation.
  • Also covers Vector Databases.
  • - 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

Choose rag-web-ui if…

  • rag-web-ui is primarily TypeScript; llm-app is Jupyter Notebook.
  • License: rag-web-ui is Apache-2.0, llm-app is MIT.
  • Tags unique to rag-web-ui: ai, deepseek, langchain, ollama.
  • Also covers Inference & Serving.
  • rag-web-ui ships Docker support for self-hosted deployment.

When NOT to use rag-web-ui

  • Last GitHub push was 100 days ago (slowing maintenance, Apr 6, 2026). Validate activity before betting a new project on rag-web-ui.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

llm-app trust report →rag-web-ui trust report →Data & Retrieval category →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: llm-app 59k · rag-web-ui 3.1k (synced Jul 11, 2026).

Common questions

What is the difference between llm-app and rag-web-ui?
llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. rag-web-ui: RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.. See the comparison table for live GitHub stats and shared categories.
When should I choose llm-app over rag-web-ui?
Choose llm-app over rag-web-ui when llm-app is primarily Jupyter Notebook; rag-web-ui is TypeScript; License: llm-app is MIT, rag-web-ui is Apache-2.0; 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: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers Vector Databases; - 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 choose rag-web-ui over llm-app?
Choose rag-web-ui over llm-app when rag-web-ui is primarily TypeScript; llm-app is Jupyter Notebook; License: rag-web-ui is Apache-2.0, llm-app is MIT; Tags unique to rag-web-ui: ai, deepseek, langchain, ollama; Also covers Inference & Serving; rag-web-ui ships Docker support for self-hosted deployment.
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.
When should I avoid rag-web-ui?
Last GitHub push was 100 days ago (slowing maintenance, Apr 6, 2026). Validate activity before betting a new project on rag-web-ui. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is llm-app or rag-web-ui more popular on GitHub?
llm-app has more GitHub stars (59,068 vs 3,063). Stars measure visibility, not whether either tool fits your constraints.
Are llm-app and rag-web-ui open source?
Yes - both are open-source projects on GitHub (llm-app: MIT, rag-web-ui: Apache-2.0).
Where can I find alternatives to llm-app or rag-web-ui?
GraphCanon lists graph-backed alternatives at llm-app alternatives and rag-web-ui alternatives (llm-app markdown twin, rag-web-ui 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, llm-app or rag-web-ui?
llm-app: Very active. rag-web-ui: Slowing. 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 llm-app and rag-web-ui?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-app trust report; rag-web-ui trust report.

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