--- title: "VideoRAG vs context7" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-videorag-vs-upstash-context7" tools: ["hkuds-videorag", "upstash-context7"] --- # VideoRAG vs context7 *GraphCanon updated Jul 11, 2026* ## Verdict Pick VideoRAG when videoRAG is primarily Python; context7 is TypeScript; pick context7 when context7 is primarily TypeScript; VideoRAG is Python. [VideoRAG](https://arxiv.org/abs/2502.01549) reports 3.1k GitHub stars, 447 forks, and 19 open issues, last pushed Mar 18, 2026. [context7](https://context7.com) has 59k stars, 2.8k forks, and 28 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [VideoRAG's repository](https://github.com/HKUDS/VideoRAG) and [context7's repository](https://github.com/upstash/context7). | | [VideoRAG](/tools/hkuds-videorag.md) | [context7](/tools/upstash-context7.md) | | --- | --- | --- | | Tagline | [KDD'2026] "VideoRAG: Chat with Your Videos" | Up-to-date code documentation for LLMs and AI code editors | | Stars | 3,143 | 58,913 | | Forks | 447 | 2,762 | | Open issues | 19 | 28 | | Language | Python | TypeScript | | Adopt for | - | Context7 is a platform devoted to providing updated code documentation specifically tailored for LLMs (Large Language Models) and AI-based code editing tools. It uses TypeScript and operates under the MIT license. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Developer Tools, Speech & Audio | LLM Frameworks, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [VideoRAG](/tools/hkuds-videorag.md) | [context7](/tools/upstash-context7.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 115d | 0d | | Open issues (now) | 19 | 28 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/hkuds-videorag/trust.md) | [trust report](/tools/upstash-context7/trust.md) | ## Decision facts: context7 - **Adopt for:** Context7 is a platform devoted to providing updated code documentation specifically tailored for LLMs (Large Language Models) and AI-based code editing tools. It uses TypeScript and operates under the MIT license. ## Choose when ### Choose VideoRAG if… - VideoRAG is primarily Python; context7 is TypeScript. - License: VideoRAG is Other, context7 is MIT. - Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python. - Also covers Speech & Audio. ### Choose context7 if… - context7 is primarily TypeScript; VideoRAG is Python. - License: context7 is MIT, VideoRAG is Other. - Tags unique to context7: mcp-server, llm, vibe-coding, mcp. - When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency. ## 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. ## When NOT to use context7 - Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages. - If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be更 ## Common questions ### What is the difference between VideoRAG and context7? VideoRAG: [KDD'2026] "VideoRAG: Chat with Your Videos". context7: Up-to-date code documentation for LLMs and AI code editors. See the comparison table for live GitHub stats and shared categories. ### When should I choose VideoRAG over context7? Choose VideoRAG over context7 when VideoRAG is primarily Python; context7 is TypeScript; License: VideoRAG is Other, context7 is MIT; Tags unique to VideoRAG: multi-modal-llms, long-video-understanding, llms, python; Also covers Speech & Audio. ### When should I choose context7 over VideoRAG? Choose context7 over VideoRAG when context7 is primarily TypeScript; VideoRAG is Python; License: context7 is MIT, VideoRAG is Other; Tags unique to context7: mcp-server, llm, vibe-coding, mcp; When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency. ### 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. ### When should I avoid context7? Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages. If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be更 ### Is VideoRAG or context7 more popular on GitHub? context7 has more GitHub stars (58,913 vs 3,143). Stars measure visibility, not whether either tool fits your constraints. ### Are VideoRAG and context7 open source? Yes - both are open-source projects on GitHub (VideoRAG: Other, context7: MIT). ### Where can I find alternatives to VideoRAG or context7? GraphCanon lists graph-backed alternatives at [VideoRAG alternatives](/tools/hkuds-videorag/alternatives) and [context7 alternatives](/tools/upstash-context7/alternatives) ([VideoRAG markdown twin](/tools/hkuds-videorag/alternatives.md), [context7 markdown twin](/tools/upstash-context7/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/hkuds-videorag-vs-upstash-context7.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, VideoRAG or context7? VideoRAG: Slowing. context7: Very active. 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 VideoRAG and context7? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [VideoRAG trust report](/tools/hkuds-videorag/trust); [context7 trust report](/tools/upstash-context7/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-videorag`](/api/graphcanon/graph?tool=hkuds-videorag) - 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/_