Singapore600M parameters11 languages1024 dimensions

Explore SEA-LION E5 Embedding 600M

Create high-accuracy 1024-dimensional multilingual embeddings for semantic search, RAG, similarity, clustering, and classification across Southeast Asia.

Model

aisingapore/SEA-LION-E5-Embedding-600M

Input

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Enter one document per line. The interface can rank them or calculate pairwise similarities.