--- title: "prompts.chat vs VideoRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/f-prompts-chat-vs-hkuds-videorag" tools: ["f-prompts-chat", "hkuds-videorag"] --- # prompts.chat vs VideoRAG *GraphCanon updated Jul 11, 2026* ## Verdict Pick prompts.chat when prompts.chat is primarily HTML; VideoRAG is Python; pick VideoRAG when videoRAG is primarily Python; prompts.chat is HTML. [prompts.chat](https://prompts.chat) reports 165k GitHub stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. [VideoRAG](https://arxiv.org/abs/2502.01549) has 3.1k stars, 447 forks, and 19 open issues, last pushed Mar 18, 2026. Figures are from public GitHub metadata via [prompts.chat's repository](https://github.com/f/prompts.chat) and [VideoRAG's repository](https://github.com/HKUDS/VideoRAG). | | [prompts.chat](/tools/f-prompts-chat.md) | [VideoRAG](/tools/hkuds-videorag.md) | | --- | --- | --- | | Tagline | Share, discover, and collect prompts from the community | [KDD'2026] "VideoRAG: Chat with Your Videos" | | Stars | 165,372 | 3,143 | | Forks | 21,400 | 447 | | Open issues | 60 | 19 | | Language | HTML | Python | | Adopt for | Critical decision points for evaluating `prompts.chat` | - | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | LLM Frameworks, Developer Tools | LLM Frameworks, Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompts.chat](/tools/f-prompts-chat.md) | [VideoRAG](/tools/hkuds-videorag.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 115d | | Open issues (now) | 60 | 19 | | Owner type | User | Organization | | Full report | [trust report](/tools/f-prompts-chat/trust.md) | [trust report](/tools/hkuds-videorag/trust.md) | ## Decision facts: prompts.chat - **Adopt for:** Critical decision points for evaluating `prompts.chat` ## Choose when ### Choose prompts.chat if… - prompts.chat is primarily HTML; VideoRAG is Python. - Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini. - Critical decision points for evaluating `prompts.chat` ### Choose VideoRAG if… - VideoRAG is primarily Python; prompts.chat is HTML. - Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python. - Also covers Speech & Audio. ## When NOT to use prompts.chat - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use VideoRAG - Last GitHub push was 116 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on VideoRAG. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between prompts.chat and VideoRAG? prompts.chat: Share, discover, and collect prompts from the community. VideoRAG: [KDD'2026] "VideoRAG: Chat with Your Videos". See the comparison table for live GitHub stats and shared categories. ### When should I choose prompts.chat over VideoRAG? Choose prompts.chat over VideoRAG when prompts.chat is primarily HTML; VideoRAG is Python; Tags unique to prompts.chat: llm, ai, artificial-intelligence, gemini; Critical decision points for evaluating `prompts.chat`. ### When should I choose VideoRAG over prompts.chat? Choose VideoRAG over prompts.chat when VideoRAG is primarily Python; prompts.chat is HTML; Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python; Also covers Speech & Audio. ### When should I avoid prompts.chat? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid VideoRAG? Last GitHub push was 116 days ago (slowing maintenance, Mar 18, 2026). Validate activity before betting a new project on VideoRAG. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is prompts.chat or VideoRAG more popular on GitHub? prompts.chat has more GitHub stars (165,372 vs 3,143). Stars measure visibility, not whether either tool fits your constraints. ### Are prompts.chat and VideoRAG open source? Yes - both are open-source projects on GitHub (prompts.chat: Other, VideoRAG: Other). ### Where can I find alternatives to prompts.chat or VideoRAG? GraphCanon lists graph-backed alternatives at [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) and [VideoRAG alternatives](/tools/hkuds-videorag/alternatives) ([prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md), [VideoRAG markdown twin](/tools/hkuds-videorag/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/f-prompts-chat-vs-hkuds-videorag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompts.chat or VideoRAG? prompts.chat: Very active. VideoRAG: 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 prompts.chat and VideoRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompts.chat trust report](/tools/f-prompts-chat/trust); [VideoRAG trust report](/tools/hkuds-videorag/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=f-prompts-chat`](/api/graphcanon/graph?tool=f-prompts-chat) - 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/_