Comparison
llm-app vs nextjs-openai-doc-search
Verdict
Pick llm-app if llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs; pick nextjs-openai-doc-search if nextjs-openai-doc-search utilizes a stack consisting of Next.js, OpenAI API, and Supabase to build customized document search solutions similar to ChatGPT.
Markdown twin · llm-app alternatives · nextjs-openai-doc-search alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | llm-app | nextjs-openai-doc-search |
|---|---|---|
| Maintenance | Steady (74d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (130d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
- nextjs-openai-doc-search
- Template for building your own custom ChatGPT style doc search
Stars
- llm-app
- 59k
- nextjs-openai-doc-search
- 1.7k
Forks
- llm-app
- 1.5k
- nextjs-openai-doc-search
- 313
Open issues
- llm-app
- 8
- nextjs-openai-doc-search
- 12
Language
- llm-app
- Jupyter Notebook
- nextjs-openai-doc-search
- TypeScript
Adopt for
- llm-app
- llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
- nextjs-openai-doc-search
- nextjs-openai-doc-search utilizes a stack consisting of Next.js, OpenAI API, and Supabase to build customized document search solutions similar to ChatGPT.
Persona
- llm-app
- -
- nextjs-openai-doc-search
- -
Runtime
- llm-app
- -
- nextjs-openai-doc-search
- -
License
- llm-app
- MIT License
- nextjs-openai-doc-search
- Apache-2.0
Last pushed
- llm-app
- Jul 5, 2026
- nextjs-openai-doc-search
- May 12, 2026
Categories
- llm-app
- Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training
- nextjs-openai-doc-search
- Data & Retrieval, Inference & Serving
Trust and health
Maintenance
- llm-app
- Steady (60%)
- nextjs-openai-doc-search
- Slowing (36%)
Days since push
- llm-app
- 74d
- nextjs-openai-doc-search
- 130d
Open issues (now)
- llm-app
- 8
- nextjs-openai-doc-search
- 12
Stars delta
- llm-app
- -117 (30d)
- nextjs-openai-doc-search
- +1 (30d)
Full report
- llm-app
- Trust report
- nextjs-openai-doc-search
- Trust report
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; nextjs-openai-doc-search is TypeScript.
- License: llm-app is MIT, nextjs-openai-doc-search is Apache-2.0.
- Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs..
- Tags unique to llm-app: chatbot, hugging-face, llm, llm-local.
- Also covers Evaluation & Observability, Model Training.
- When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti
When NOT to use llm-app
- Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support.
- Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
Choose nextjs-openai-doc-search if…
- nextjs-openai-doc-search is primarily TypeScript; llm-app is Jupyter Notebook.
- License: nextjs-openai-doc-search is Apache-2.0, llm-app is MIT.
- Requirements: Min 2 GB RAM; An active subscription to the OpenAI API might be necessary depending on usage volume.; Supabase account for database needs if you're using their service directly..
- Tags unique to nextjs-openai-doc-search: ai, chatgpt, nextjs, openai.
- - When you want a template solution that integrates with Next.js for building modern web applications.
When NOT to use nextjs-openai-doc-search
- - Avoid if you are not utilizing or wish to avoid integrating Next.js as part of your application stack since this tool relies heavily on it.
- - Not suitable for projects where alternative AI or database solutions (not from OpenAI and Supabase) are preferred or required.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pathwaycom/llm-app) · observed Sep 20, 2026
- GitHub forks (pathwaycom/llm-app) · observed Sep 20, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (supabase-community/nextjs-openai-doc-search) · observed Sep 20, 2026
- GitHub forks (supabase-community/nextjs-openai-doc-search) · observed Sep 20, 2026
- Last push (supabase-community/nextjs-openai-doc-search) · observed May 12, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm-app 59k · nextjs-openai-doc-search 1.7k (synced Sep 20, 2026).
Common questions
- What is the difference between llm-app and nextjs-openai-doc-search?
- llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. nextjs-openai-doc-search: Template for building your own custom ChatGPT style doc search. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-app over nextjs-openai-doc-search?
- Choose llm-app over nextjs-openai-doc-search when llm-app is primarily Jupyter Notebook; nextjs-openai-doc-search is TypeScript; License: llm-app is MIT, nextjs-openai-doc-search is Apache-2.0; Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Tags unique to llm-app: chatbot, hugging-face, llm, llm-local; Also covers Evaluation & Observability, Model Training; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti.
- When should I choose nextjs-openai-doc-search over llm-app?
- Choose nextjs-openai-doc-search over llm-app when nextjs-openai-doc-search is primarily TypeScript; llm-app is Jupyter Notebook; License: nextjs-openai-doc-search is Apache-2.0, llm-app is MIT; Requirements: Min 2 GB RAM; An active subscription to the OpenAI API might be necessary depending on usage volume.; Supabase account for database needs if you're using their service directly.; Tags unique to nextjs-openai-doc-search: ai, chatgpt, nextjs, openai; - When you want a template solution that integrates with Next.js for building modern web applications.
- When should I avoid llm-app?
- Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
- When should I avoid nextjs-openai-doc-search?
- - Avoid if you are not utilizing or wish to avoid integrating Next.js as part of your application stack since this tool relies heavily on it. - Not suitable for projects where alternative AI or database solutions (not from OpenAI and Supabase) are preferred or required.
- Is llm-app or nextjs-openai-doc-search more popular on GitHub?
- llm-app has more GitHub stars (58,920 vs 1,730). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-app and nextjs-openai-doc-search open source?
- Yes - both are open-source projects on GitHub (llm-app: MIT, nextjs-openai-doc-search: Apache-2.0).
- Where can I find alternatives to llm-app or nextjs-openai-doc-search?
- GraphCanon lists graph-backed alternatives at llm-app alternatives and nextjs-openai-doc-search alternatives (llm-app markdown twin, nextjs-openai-doc-search 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 nextjs-openai-doc-search?
- llm-app: Steady. nextjs-openai-doc-search: 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 nextjs-openai-doc-search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-app trust report; nextjs-openai-doc-search trust report.