--- title: "awesome-llm-apps vs nextjs-openai-doc-search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shubhamsaboo-awesome-llm-apps-vs-supabase-community-nextjs-openai-doc-search" tools: ["shubhamsaboo-awesome-llm-apps", "supabase-community-nextjs-openai-doc-search"] --- # awesome-llm-apps vs nextjs-openai-doc-search *GraphCanon updated Aug 23, 2026* ## 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. [awesome-llm-apps](https://www.theunwindai.com) reports 131k GitHub stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. [nextjs-openai-doc-search](https://supabase.com/blog/chatgpt-supabase-docs) has 1.7k stars, 315 forks, and 12 open issues, last pushed May 12, 2026. Figures are from public GitHub metadata via [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps) and [nextjs-openai-doc-search's repository](https://github.com/supabase-community/nextjs-openai-doc-search). | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [nextjs-openai-doc-search](/tools/supabase-community-nextjs-openai-doc-search.md) | | --- | --- | --- | | Tagline | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | Template for building your own custom ChatGPT style doc search | | Stars | 131,230 | 1,732 | | Forks | 19,346 | 315 | | Open issues | 13 | 12 | | Language | Python | TypeScript | | Adopt for | 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 utilizes a stack consisting of Next.js, OpenAI API, and Supabase to build customized document search solutions similar to ChatGPT. | | Persona | - | - | | Runtime | - | - | | License | 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. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [nextjs-openai-doc-search](/tools/supabase-community-nextjs-openai-doc-search.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 102d | | Open issues (now) | 13 | 12 | | Stars delta | +14k (30d) | +3 (30d) | | Open issues delta | +6 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | [trust report](/tools/supabase-community-nextjs-openai-doc-search/trust.md) | ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** 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. - **License detail:** 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. ## Decision facts: nextjs-openai-doc-search - **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. - **Adopt for:** nextjs-openai-doc-search utilizes a stack consisting of Next.js, OpenAI API, and Supabase to build customized document search solutions similar to ChatGPT. ## Choose when ### 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. ### 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 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 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. ## 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 1,732). 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](/tools/shubhamsaboo-awesome-llm-apps/alternatives) and [nextjs-openai-doc-search alternatives](/tools/supabase-community-nextjs-openai-doc-search/alternatives) ([awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/alternatives.md), [nextjs-openai-doc-search markdown twin](/tools/supabase-community-nextjs-openai-doc-search/alternatives.md)), 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](/compare/shubhamsaboo-awesome-llm-apps-vs-supabase-community-nextjs-openai-doc-search.md) 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: 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 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](/tools/shubhamsaboo-awesome-llm-apps/trust); [nextjs-openai-doc-search trust report](/tools/supabase-community-nextjs-openai-doc-search/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps`](/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_