Embeddings
Part of AI & Machine Learning
Text and multimodal embedding models for semantic search and RAG
Services(5)
Ownership Structure
Deployment
License Type
Country
51%
EU
Mixed (>30% Non-EU)
Embeddings
Mistral Embed
Mistral's embedding model for semantic search and RAG applications.
47%
EU
Non-EU ControlledSelf-HostableCC-BY-NC-4.0
Embeddings
Jina Embeddings
German company, jina-embeddings-v3 with 8K context, multilingual. v2 was Apache-2.0, v3 is CC-BY-NC-4.0.
45%
Public SectorSelf-HostableMIT
Embeddings
BGE-M3
BAAI's multilingual embedding model, 63.0 MTEB, supports 100+ languages. MIT license.
★ 11.4k
35%
BootstrappedSelf-HostableMIT
Embeddings
E5-Mistral-7B
LLM-based embeddings, 61.8 MTEB, excellent for long documents. MIT license.
34%
BootstrappedSelf-HostableApache-2.0
Embeddings
Nomic Embed
Open-source embeddings with 8K context, based on ModernBERT. Apache 2.0.
★ 1.9k