all-MiniLM-L6-v2
Small, fast model that turns English sentences into vectors for semantic search and clustering. Based on nreimers/MiniLM-L6-H384-uncased.
Apache-2.0Permissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
Open-source alternatives to OpenAI Embeddings
OpenAI Embeddings in the AI category. These are the open alternatives we recommend looking at.
bge-m3
Multilingual embedding model from BAAI for search over long texts, with both dense and sparse vectors.
MITPermissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
multilingual-e5-large
Multilingual embedding model for semantic search and text similarity across about a hundred languages. The model card lists Swedish support.
MITPermissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
Qwen3-Embedding-0.6B
Small embedding model from the Qwen family for multilingual search and text similarity. Based on Qwen/Qwen3-0.6B-Base.
Apache-2.0Permissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
nomic-embed-text-v1.5
Embedding model from Nomic for long texts, where the vector size can be chosen as needed.
Apache-2.0Permissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
gte-multilingual-base
Multilingual embedding model from Alibaba for search and text similarity. The model card lists Swedish support.
Apache-2.0Permissive
SaaS: YesClosed product: Yes
- Deployment
- sentence-transformers
This is guidance, not legal advice (inte juridisk rådgivning). Check with a lawyer before deciding.
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