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

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


The Cohere Embed 4 multimodal embeddings model is now available as a fully managed, serverless option in Amazon Bedrock. Users can choose between cross-Region inference (CRIS) or Global cross-Region inference to manage unplanned traffic bursts by utilizing compute resources across different AWS Regions. Real-time information requests and time zone concentrations are example events that can cause inference demand to exceed anticipated traffic.

The new Embed 4 model on Amazon Bedrock is purpose-built for analyzing business documents. The model delivers leading multilingual capabilities and shows notable improvements over Embed 3 across the key benchmarks, making it ideal for use cases such as enterprise search.

In this post, we dive into the benefits and unique capabilities of Embed 4 for enterprise search use cases. We’ll show you how to quickly get started using Embed 4 on Amazon Bedrock, taking advantage of integrations with Strands Agents, S3 Vectors, and Amazon Bedrock AgentCore ...


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