Cohere Embed

State-of-the-art multilingual text embedding API for semantic search

Code & DevelopmentFreemium

Cohere Embed is a production-ready multilingual embedding model that converts text into high-dimensional vectors for semantic search, classification, and clustering. Supporting over 100 languages, it powers enterprise RAG pipelines, recommendation engines, and anomaly detection systems. The API handles batches up to 96 inputs per call and supports both float and binary quantization for storage efficiency. Cohere Embed integrates natively with Pinecone, Weaviate, Qdrant, and other vector databases, and ships with client libraries for Python, TypeScript, Go, and Java.

Key Features

• ✓100+ language support
• ✓Binary quantization
• ✓Batch processing
• ✓Vector DB integrations
• ✓Semantic search
• ✓Classification