Multimodal Embedding & Reranker Models with Sentence Transformers
Apr 10, 2026
Summary
This post introduces the BAAI/BGE-VL-MLLM-S1 model, an 8B parameter multimodal model for sentence similarity, as a new addition to the Sentence Transformers capabilities. It also reiterates the availability of `sentence-transformers/all-MiniLM-L6-v2` and mentions the Qwen/Qwen3-VL-E model.
More from the Sentence Transformers for Playlist Generation trail
- NeoMME: an efficient Multimodal-native and Multilingual Encoder
- MTEB: Massive Text Embedding Benchmark
- Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis
- Build a Domain-Specific Embedding Model in Under a Day
- Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality