Powering enterprise search with the Cohere Embed 4 multimodal embeddings model in Amazon Bedrock

This article demonstrates how to use the Cohere Embed 4 multimodal embeddings model in Amazon Bedrock for enterprise search, specifically in financial services.

• Cohere Embed 4 now available as fully managed, serverless option in Amazon Bedrock
• Supports multimodal content: text, images, and interleaved combinations up to 128,000 tokens
• Multilingual capabilities across 100+ languages for regulated industries
• Compressed embeddings reduce vector storage costs by up to 83%
• Integrates with S3 Vectors for cost-optimized storage (up to 90% cheaper than traditional vector databases)
• Uses Strands Agents SDK for agent development and orchestration
• Deploys via Bedrock AgentCore for managed, serverless runtime
• Example workflow: financial research agent searches documents using semantic similarity

Embed 4 on Bedrock enables enterprises to build scalable, secure agentic RAG workflows for unstructured multimodal data without infrastructure management overhead.