> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.twelvelabs.io/v1.3/docs/cloud-partner-integrations/amazon-bedrock/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.twelvelabs.io/_mcp/server.

# Amazon Bedrock

> Use Marengo and Pegasus on Amazon Bedrock to create embeddings and analyze videos.

This section shows you how to use TwelveLabs models on Amazon Bedrock. Select the guide that matches your use case:

#### [Create embeddings with Marengo](/v1.3/docs/cloud-partner-integrations/amazon-bedrock/create-embeddings)

Create embeddings from video, text, audio, or image inputs for search and recommendation systems.

#### [Analyze videos with Pegasus](/v1.3/docs/cloud-partner-integrations/amazon-bedrock/analyze-videos)

Analyze videos and generate text based on their content.

> Use Marengo and Pegasus on Amazon Bedrock to create embeddings and analyze videos.

## Docs

- [Create embeddings](https://docs.twelvelabs.io/docs/cloud-partner-integrations/amazon-bedrock/create-embeddings.md): Create video embeddings with Marengo on Amazon Bedrock.
- [Analyze videos](https://docs.twelvelabs.io/docs/cloud-partner-integrations/amazon-bedrock/analyze-videos.md): Analyze videos with Pegasus on Amazon Bedrock to generate summaries, chapters, highlights, and custom text.
- [Troubleshooting](https://docs.twelvelabs.io/docs/cloud-partner-integrations/amazon-bedrock/troubleshooting.md): Troubleshooting guide for TwelveLabs models on Amazon Bedrock.
- [Migration guide](https://docs.twelvelabs.io/docs/cloud-partner-integrations/amazon-bedrock/migration-guide.md): Migrate from Marengo 2.7 to Marengo 3.0 on Amazon Bedrock.