Embed

Retrieval, vector search and RAG · by Cohere

A leading multimodal search and retrieval model for semantic text representation.

What it does

A leading multimodal search and retrieval model for semantic text representation. Captures text meaning for accurate document comparison, converts text to vectors for fast scalable search, and uncovers hidden patterns and relationships in data.

  • Automate business processes
  • Empower employees with AI agents
  • Turn fragmented data into actionable insights
  • Enterprise knowledge search and discovery
Category
Retrieval, vector search and RAG
Users
Financial Services, Public Sector, Energy, Technology and 3 more
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

  • Free trial$0
  • Usage-based$3.00/hour
    • Per hour (Model Vault
    • Embed 5 Fast or Embed 5 Pro, Small tier)

Prices as published by Cohere, checked Oct 2026.

Security and compliance

As reported by Cohere. Ask for audit reports before you buy.

  • SOC 2 Type IICompliant
  • ISO/IEC 27001Compliant
  • ISO/IEC 42001Compliant
  • Cyber EssentialsCompliant
  • HIPAACompliant
  • GDPRCompliant
  • CCPA/CPRACompliant
  • Privacy-by-Design
  • GDPR-specific compliance training
  • Multi-jurisdictional Data Processing Addendum
  • Appropriate mechanisms for international data transfers
  • Transfer Impact Assessment completed
  • Ephemeral data processing option

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