WeMM-Embedding
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
Utilize multimodal embedding models to understand and retrieve information from text, images, and videos.
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WeMM-Embedding has 930 stars on GitHub. It has been forked 65 times. WeMM-Embedding is written mainly in Python. It has been in active development since 2026. Its main topics are embedding-models, multimodal, multimodal-llm.
What is WeMM-Embedding?
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
Is WeMM-Embedding open source?
WeMM-Embedding is an open-source project.
Is WeMM-Embedding free?
Yes. WeMM-Embedding is free and open source — you can use, modify and self-host it.
What language is WeMM-Embedding written in?
WeMM-Embedding is written mainly in Python.
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