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Embed v4.0

Embed v4.0 is a multimodal embedding model from Cohere that converts text, images, or mixed content into vector representations for classification and semantic search.

index.ts
import { embed } from 'ai';


const result = await embed({
  model: 'cohere/embed-v4.0',
  value: 'Sunny day at the beach',
})
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Frequently Asked Questions

  • What makes Embed v4.0 a multimodal embedding model?

    It embeds text, images, and interleaved text-image content in one unified vector space. A screenshot of a PDF slide and a text query about its contents can be compared directly without preprocessing the image into text.

  • What is the MTEB score for Embed v4.0?

    65.2 on MTEB (Massive Text Embedding Benchmark), above OpenAI's text-embedding-3-large (64.6).

  • What are Matryoshka embeddings and how do they work in Embed v4.0?

    Matryoshka embeddings let you truncate a full-dimension vector to a smaller size with limited quality loss. For example, you can store embeddings at 256 dimensions instead of 1,536. This enables tiered retrieval systems and storage savings without retraining or re-indexing.

  • What embedding dimensions does Embed v4.0 support?

    Four output dimensions: 256, 512, 1,024, and 1,536. The default is 1,536. Choose 512 or 1,024 to balance accuracy with storage cost.

  • Can Embed v4.0 embed visual content from enterprise documents?

    Yes. It captures visual features from screenshots of PDFs, slides, tables, and figures. You can index visual enterprise content alongside text directly.

  • Which document types benefit most from Embed v4.0's multimodal capabilities?

    Technical documentation with embedded diagrams, investor presentations, research reports with charts and figures, and any mixed-format knowledge base where OCR-based text extraction would lose structural or visual context.

  • Does Embed v4.0 support multilingual retrieval?

    Yes. Cohere trained it for English and multilingual settings. You can run cross-lingual similarity search within the same vector index.

  • How much does Embed v4.0 cost on AI Gateway?

    Current pricing is shown on this page. AI Gateway routes across providers, and rates may vary by provider.