# Expand multimodal search with Cohere v4 embeddings on Bedrock

> AwsBedrockEmbedder now supports Cohere Embed v4, including configurable output dimensions and multimodal (text + image) embeddings, with async variants.

- Published: 2026-01-29
- Author: Agno Team
- Category: Changelog
- Canonical: https://agno-com-nine.vercel.app/articles/expand-multimodal-search-with-cohere-v4-embeddings-on-bedrock
- Markdown: https://agno-com-nine.vercel.app/articles/expand-multimodal-search-with-cohere-v4-embeddings-on-bedrock.md

AwsBedrockEmbedder now supports Cohere Embed v4, including configurable output dimensions and multimodal (text + image) embeddings, with async variants. This expands what you can index and search while tuning for cost, latency, and quality.

Details:

- Control vector size via output_dimension for performance and cost management
- Operates through AWS Bedrock for governance and consolidated operations

Who this is for: Teams standardizing on Bedrock that need scalable, multimodal semantic search and RAG.