TIGER-AI-Lab / VLM2Vec
This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repository contains the code and data interface for MMEB-V3, a comprehensive benchmark for evaluating omni-modality embedding models across text, image, video, audio, visual document, and agent-centric retrieval scenarios.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 20 days ago
- Stars
- 704
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.1
- Released 16 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 82% closed
- 32 still open
- Pull requests
- 23 merged
- 0 waiting
- Releases
- 2
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- benchmark
- contrastive-learning
- embedding
- image-retrieval
- mmeb
- multimodal
- rag
- representation-learning
- video-retrieval
- visual-document-retrieval
- vlm
Project record
- JobOther AI tools
- StatusListed
- Commits136
- Forks65
- Watching11
- Stars in 28 days+13
- CreatedOct 7, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026