Comparison
awesome-llm-apps vs nextjs-openai-doc-search
Verdict
Pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python; 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 · awesome-llm-apps alternatives · nextjs-openai-doc-search alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-apps | nextjs-openai-doc-search |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2w · github_public_v1 | Steady (71d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- nextjs-openai-doc-search
- Template for building your own custom ChatGPT style doc search
Stars
- awesome-llm-apps
- 131k
- nextjs-openai-doc-search
- 1.7k
Forks
- awesome-llm-apps
- 19k
- nextjs-openai-doc-search
- 316
Open issues
- awesome-llm-apps
- 13
- nextjs-openai-doc-search
- 12
Language
- awesome-llm-apps
- Python
- nextjs-openai-doc-search
- TypeScript
Adopt for
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- 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
- awesome-llm-apps
- -
- nextjs-openai-doc-search
- -
Runtime
- awesome-llm-apps
- -
- nextjs-openai-doc-search
- -
License
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
- nextjs-openai-doc-search
- Apache-2.0
Last pushed
- awesome-llm-apps
- Aug 3, 2026
- nextjs-openai-doc-search
- May 12, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- nextjs-openai-doc-search
- Data & Retrieval, Inference & Serving
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- nextjs-openai-doc-search
- Steady (60%)
Days since push
- awesome-llm-apps
- 4d
- nextjs-openai-doc-search
- 71d
Open issues (now)
- awesome-llm-apps
- 13
- nextjs-openai-doc-search
- 12
Stars delta
- awesome-llm-apps
- +14k (30d)
- nextjs-openai-doc-search
- Unknown
Open issues delta
- awesome-llm-apps
- +6 (30d)
- nextjs-openai-doc-search
- Unknown
Owner type
- awesome-llm-apps
- User
- nextjs-openai-doc-search
- Organization
Full report
- awesome-llm-apps
- Trust report
- nextjs-openai-doc-search
- Trust report
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; nextjs-openai-doc-search is TypeScript.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Choose nextjs-openai-doc-search if…
- nextjs-openai-doc-search is primarily TypeScript; awesome-llm-apps is Python.
- 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.
- Also covers Inference & Serving.
- - 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 (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (supabase-community/nextjs-openai-doc-search) · observed Jul 23, 2026
- GitHub forks (supabase-community/nextjs-openai-doc-search) · observed Jul 23, 2026
- Last push (supabase-community/nextjs-openai-doc-search) · observed May 12, 2026
- License file (Apache-2.0) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 131k · nextjs-openai-doc-search 1.7k (synced Aug 7, 2026).
Common questions
- What is the difference between awesome-llm-apps and nextjs-openai-doc-search?
- awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. 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 awesome-llm-apps over nextjs-openai-doc-search?
- Choose awesome-llm-apps over nextjs-openai-doc-search when awesome-llm-apps is primarily Python; nextjs-openai-doc-search is TypeScript; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose nextjs-openai-doc-search over awesome-llm-apps?
- Choose nextjs-openai-doc-search over awesome-llm-apps when nextjs-openai-doc-search is primarily TypeScript; awesome-llm-apps is Python; 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; Also covers Inference & Serving; - When you want a template solution that integrates with Next.js for building modern web applications.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- 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 awesome-llm-apps or nextjs-openai-doc-search more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 1,729). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and nextjs-openai-doc-search open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, nextjs-openai-doc-search: Apache-2.0).
- Where can I find alternatives to awesome-llm-apps or nextjs-openai-doc-search?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and nextjs-openai-doc-search alternatives (awesome-llm-apps 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, awesome-llm-apps or nextjs-openai-doc-search?
- awesome-llm-apps: Very active. nextjs-openai-doc-search: Steady. 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 awesome-llm-apps and nextjs-openai-doc-search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; nextjs-openai-doc-search trust report.