Embeddings
Semantic search and vector representations for AI applications
5 models available
Text Embedding 3 Large
OpenAI
Popular
OpenAI's most powerful embedding model. 3072 dimensions for maximum accuracy.
0.0013/1K tokens600ms
high-quality
BGE-M3
xAI
BAAI's versatile embedding model supporting dense, sparse, and multi-vector retrieval. Open-source and highly effective.
Free
open-sourcemulti-retrievalBAAI
Cohere Embed v3
xAI
Cohere's multilingual embedding model. Supports 100+ languages with separate search and classification modes.
Free
multilingualsearchCohere
Jina Embeddings v3
xAI
Jina AI's latest embedding model with task-specific adapters. Supports flexible dimensions and multiple retrieval tasks.
Free
flexible-dimstask-adaptersopen-source
Text Embedding 3 Small
OpenAI
OpenAI's compact embedding model. 1536 dimensions, great for semantic search and RAG.
0.0002/1K tokens500ms
affordablecompact
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