What is Cohere Embed — Multilingual AI Embeddings API?

Generate high-quality multilingual embeddings for search and RAG. Cohere Embed v3 supports 100+ languages with specialized modes for documents, queries, and classification.

Is Cohere Embed — Multilingual AI Embeddings API free to use?

Yes. Cohere Embed — Multilingual AI Embeddings API is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Cohere Embed — Multilingual AI Embeddings API?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Cohere Embed — Multilingual AI Embeddings API

What is Cohere Embed?

Cohere Embed is a multilingual embedding API that converts text into high-dimensional vectors for semantic search, RAG, and classification. Supports 100+ languages and ranks top on MTEB.

In one sentence: Multilingual embedding API — 100+ languages, MTEB Top 3, supports 32x storage compression, dedicated document/query/classification modes, free tier up to 1M/month.

For: Teams building multilingual search or RAG.

Core Features

1. Input Types

Four optimized modes: document, query, classification, clustering.

2. Compression

Three compression levels (float/int8/binary) saving up to 32x storage.

3. Multilingual

Single model for 100+ languages — cross-language similarity works out of the box.

FAQ

Q: How does it compare to OpenAI embeddings? A: Comparable quality, better multilingual, built-in compression saves storage.

Q: Open-source alternatives? A: BGE-M3 and E5-Mistral — but require self-hosting.