Overview
2 featuresVLM2Vec Full is a Foundation models & chat project. It focuses on creating unified embeddings from both text and images for retrieval and similarity tasks. VLM2Vec Full is an open-source project aimed at Multimodal AI developers. The project is open source (Apache-2.0). It ships for the web, the command line, and API.
It is developed by TIGER Lab, and it first shipped in 2025. The project is developed in the open on GitHub with 670 stars and 14 commits in the last 90 days.
Summary written by a language model from the project’s public pages.
- ✓Multimodal embeddings
- ✓Vision-language understanding
Tagsvlmmultimodal-embeddingvision-language
AI capabilitiesText
Inference: LocalWeights: Open
Built with & integrations
Runs onBrowserCLIAPI-only
Detected from
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bvllm in the HTML
Indexing history
1What PulseGate has recorded for this listing
Indexed5 Aug · 08:05 UTC
TIGER-Lab/VLM2Vec-Full verified against its public source
Frequently asked questions about VLM2Vec Full
- What does VLM2Vec Full do?
- VLM2Vec Full focuses on creating unified embeddings from both text and images for retrieval and similarity tasks. It is catalogued under Foundation models & chat on PulseGate.
- Who should use VLM2Vec Full?
- VLM2Vec Full is an open-source project built for Multimodal AI developers.
- Is VLM2Vec Full free?
- Yes — VLM2Vec Full is open source under the Apache-2.0 license and free to use.
- What platforms does VLM2Vec Full run on?
- VLM2Vec Full runs on the web, the command line, and API.
- Is VLM2Vec Full still active?
- The GitHub repository shows 14 commits in the last 90 days.
- Who develops VLM2Vec Full?
- VLM2Vec Full is developed by TIGER Lab.
- How long has VLM2Vec Full been around?
- VLM2Vec Full first shipped in 2025.