HKUDS/VideoRAG
[KDD'2026] "VideoRAG: Chat with Your Videos" observed · 2026-08-28
Health v2 · maintenance only
53/100
- Activity 72
- Release rhythm 35
- Longevity 41
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 576
- days_rel: n/a
- days_push: 168
- n_releases_24m: 0
Adoption not part of the score
3337 stars · 478 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
VideoRAG is a retrieval-augmented generation framework for chatting with and understanding extremely long-context videos, using a dual-channel architecture combining graph-based textual knowledge grounding with multi-modal visual context encoding. It includes a LongerVideos benchmark and a Vimo desktop application.
Use cases
- chat with my videos using an llm
- build a rag system over long video collections
- search and query across many hours of video content
- understand extremely long videos with multi-modal retrieval
- build a knowledge graph spanning multiple videos
- benchmark long video understanding methods
When to choose
- you need question answering over very long or many videos
- you want graph-based retrieval combined with visual multi-modal encoding
- you need a research baseline for long-video RAG
When to avoid
- you only need text-only RAG over documents
- you need a lightweight production video search without LLM dependencies
- you require a permissively licensed library (license is non-standard)
Facets
framework · maturity active
rag machine-learning video-processing llm-inference search-engine chatbot large-language-models artificial-intelligence machine-learning python cross-platform multi-modal long-video-understanding knowledge-graph video-qa desktop-app research retrieval-augmented-generation video gpu
6 sources
- readme: https://github.com/HKUDS/VideoRAG · fetched 2026-08-28 · a7b7c75bb352
- homepage: https://arxiv.org/abs/2502.01549 · fetched 2026-08-29 · 1ebc9cafc122
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| HKUDS/VideoRAG | main | 53 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem