Search by meaning
Embedding models and datasets for searching, comparing, and clustering texts by meaning.
Models3
- ModelBGE-M3
BGE-M3 is a new embedding model, which is distinguished for its versatility in Multi-Linguality, Multi-Functionality, and Multi-Granularity.
- University of Science and Technology of China
- BAAI
No license specified - ModelE5-sk-large
This is a specialized Slovak sentence-transformers model that maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity,…
MIT - ModelE5-sk-small
This is a specialized Slovak sentence-transformers model that maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity,…
MIT
Datasets2
- DatasetSkMTEB
SkMTEB is the first comprehensive MTEB-style text embedding benchmark for Slovak — a low-resource West Slavic language with ~5 million speakers.
- SlovakNLP Community
CC BY 4.0 - DatasetSlovak STS Synthetic
This is a synthetic Slovak dataset intended for the semantic textual similarity (STS) task.
CC BY-NC 4.0