Comparison
VideoRAG vs AutoRAG
Verdict
Pick VideoRAG if videoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike; pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
Markdown twin · VideoRAG alternatives · AutoRAG alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | VideoRAG | AutoRAG |
|---|---|---|
| Maintenance | Slowing (152d since push) As of 1w · github_public_v1 | Very active (2d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- VideoRAG
- Chat with Your Videos
- AutoRAG
- Open-source framework for RAG evaluation and optimization via AutoML
Stars
- VideoRAG
- 3.3k
- AutoRAG
- 5.0k
Forks
- VideoRAG
- 467
- AutoRAG
- 419
Open issues
- VideoRAG
- 21
- AutoRAG
- 123
Language
- VideoRAG
- Python
- AutoRAG
- TypeScript
Adopt for
- VideoRAG
- VideoRAG is an AI desktop application that allows users to interact with video content through natural language queries, catering to enthusiasts and professionals alike.
- AutoRAG
- AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques.
Persona
- VideoRAG
- -
- AutoRAG
- -
Runtime
- VideoRAG
- -
- AutoRAG
- -
License
- VideoRAG
- Other
- AutoRAG
- Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices.
Last pushed
- VideoRAG
- Mar 18, 2026
- AutoRAG
- Aug 5, 2026
Categories
- VideoRAG
- Data & Retrieval, Model Training
- AutoRAG
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- VideoRAG
- Slowing (36%)
- AutoRAG
- Very active (96%)
Days since push
- VideoRAG
- 152d
- AutoRAG
- 2d
Open issues (now)
- VideoRAG
- 21
- AutoRAG
- 123
Stars delta
- VideoRAG
- +104 (30d)
- AutoRAG
- Unknown
Open issues delta
- VideoRAG
- +1 (30d)
- AutoRAG
- Unknown
Full report
- VideoRAG
- Trust report
- AutoRAG
- Trust report
Choose VideoRAG if…
- VideoRAG is primarily Python; AutoRAG is TypeScript.
- License: VideoRAG is Other, AutoRAG is Apache-2.0.
- Tags unique to VideoRAG: large language models, llms, long-video-understanding, multi-modal-llms.
- Also covers Data & Retrieval.
- You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components.
When NOT to use VideoRAG
- You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward.
- If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary.
- Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context.
Choose AutoRAG if…
- AutoRAG is primarily TypeScript; VideoRAG is Python.
- License: AutoRAG is Apache-2.0, VideoRAG is Other.
- Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser.
- Also covers Evaluation & Observability.
- Automated benchmarking is needed for retrieval-augmented generation tasks
When NOT to use AutoRAG
- Requirements exceed capabilities of open-source tools
- No need for RAG-specific optimization and evaluation features
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HKUDS/VideoRAG) · observed Aug 18, 2026
- GitHub forks (HKUDS/VideoRAG) · observed Aug 18, 2026
- Last push (HKUDS/VideoRAG) · observed Mar 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- GitHub forks (Marker-Inc-Korea/AutoRAG) · observed Aug 8, 2026
- Last push (Marker-Inc-Korea/AutoRAG) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: VideoRAG 3.3k · AutoRAG 5.0k (synced Aug 18, 2026).
Common questions
- What is the difference between VideoRAG and AutoRAG?
- VideoRAG: Chat with Your Videos. AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. See the comparison table for live GitHub stats and shared categories.
- When should I choose VideoRAG over AutoRAG?
- Choose VideoRAG over AutoRAG when VideoRAG is primarily Python; AutoRAG is TypeScript; License: VideoRAG is Other, AutoRAG is Apache-2.0; Tags unique to VideoRAG: large language models, llms, long-video-understanding, multi-modal-llms; Also covers Data & Retrieval; You have long videos (up to hundreds of hours) and need precise analysis or summaries that require deep understanding of both audio and visual components.
- When should I choose AutoRAG over VideoRAG?
- Choose AutoRAG over VideoRAG when AutoRAG is primarily TypeScript; VideoRAG is Python; License: AutoRAG is Apache-2.0, VideoRAG is Other; Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Also covers Evaluation & Observability; Automated benchmarking is needed for retrieval-augmented generation tasks.
- When should I avoid VideoRAG?
- You are working with short clips (under one minute) where traditional search methods might be quicker or more straightforward. If your needs are strictly for audio transcription or text-based retrieval, VideoRAG's features may offer more complexity than necessary. Your video content has strict privacy concerns, as using desktop applications can sometimes pose security and confidentiality risks depending on the user’s context.
- When should I avoid AutoRAG?
- Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features
- Is VideoRAG or AutoRAG more popular on GitHub?
- AutoRAG has more GitHub stars (4,968 vs 3,288). Stars measure visibility, not whether either tool fits your constraints.
- Are VideoRAG and AutoRAG open source?
- Yes - both are open-source projects on GitHub (VideoRAG: Other, AutoRAG: Apache-2.0).
- Where can I find alternatives to VideoRAG or AutoRAG?
- GraphCanon lists graph-backed alternatives at VideoRAG alternatives and AutoRAG alternatives (VideoRAG markdown twin, AutoRAG 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, VideoRAG or AutoRAG?
- VideoRAG: Slowing. AutoRAG: 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 AutoRAG?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: VideoRAG trust report; AutoRAG trust report.