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]
- Stars
- 695
- Forks
- 65
- Open issues
- 31
- Last push
- 6d ago
About VLM2Vec
VLM2Vec is a free, open-source RAG and AI search tool by TIGER-AI-Lab, written mainly in Python. This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]. It has 695 GitHub stars and 65 forks, and was last updated 6d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 695
- Last update
- 6d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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VLM2Vec FAQ
Is VLM2Vec free?
Yes. VLM2Vec is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does VLM2Vec run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does VLM2Vec need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is VLM2Vec still maintained?
Yes. It was last updated 6d ago and has 31 open issues on GitHub.
What are alternatives to VLM2Vec?
Similar free, open-source tools include ragflow, PageIndex, agentic-rag-for-dummies, FlagEmbedding.