For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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Sample appsIntegrationsDiscordPlaygroundDevEx repo
GuidesSDK ReferenceAPI Reference
GuidesSDK ReferenceAPI Reference
  • Get Started
    • Introduction
    • Quickstart
    • Manage your plan
    • Rate limits
    • Release notes
    • Migration guide
  • Guides
    • Search
    • Analyze videos
    • Segment videos
    • Create embeddings
  • Concepts
    • Models
    • Upload and processing methods
    • Indexes
    • Modalities
    • Multimodal large language models
  • Cloud partner integrations
    • Amazon Bedrock
      • Create embeddings
      • Analyze videos
      • Troubleshooting
      • Migration guide
  • Advanced
    • Organizations
    • Fine-tuning
    • Webhooks
    • Metadata
    • Model context protocol
    • Claude Code Plugin
  • Resources
    • Platform overview
    • Playground
    • TwelveLabs SDKs
    • Frequently asked questions
    • Use cases
    • Sample applications
    • Partner integrations
    • From the community
  • Introduction
  • Quickstart
  • Search
  • Analyze videos
  • Create embeddings
  • Manage your plan
  • Rate limits
  • Release notes
  • Migration guide
  • Guides
  • Search
  • Search with text, image, and composed queries
  • Entity search
  • Query engineering
  • Grouping
  • Filtering
  • Analyze videos
  • Structured responses
  • Tune the temperature
  • Prompt engineering
  • Segment videos
  • Create embeddings
  • Video embeddings
  • Embeddings for new videos
  • Embeddings for indexed videos
  • Audio embeddings
  • Text embeddings
  • Single image embeddings
  • Text and image embeddings
  • Models
  • Marengo
  • Pegasus
  • Upload and processing methods
  • Indexes
  • Modalities
  • Multimodal large language models
  • Amazon Bedrock
  • Create embeddings
  • Analyze videos
  • Troubleshooting
  • Migration guide
  • Organizations
  • Administrator's guide
  • User roles
  • SSO configuration
  • User's guide
  • Frequently asked questions
  • Fine-tuning
  • Fine-tuning workflow
  • Data preparation
  • Best practices
  • Dataset examples
  • Webhooks
  • Manage webhooks
  • Requirements for processing notifications
  • Response schema
  • Metadata
  • Model context protocol
  • Claude Code Plugin
  • Platform overview
  • Playground
  • Upload and manage assets
  • Manage indexes
  • Search
  • Entity search
  • Analyze videos
  • Segment videos
  • Visualize embeddings
  • Examples
  • TwelveLabs SDKs
  • Frequently asked questions
  • Use cases
  • Sample applications
  • Partner integrations
  • Adobe Premiere Pro Plugin
  • ApertureDB - Semantic video search engine
  • Backblaze B2 - Media management application
  • Chroma - Multimodal RAG: Chat with Videos
  • Databricks - Advanced video understanding
  • LanceDB - Building advanced video understanding applications
  • Langflow - Building smart video agents
  • Milvus - Advanced video search
  • MindsDB - The TwelveLabs handler
  • MongoDB - Semantic video search
  • Oracle - Unleashing Video Intelligence
  • Pinecone - Multimodal RAG
  • Qdrant - Building a semantic video search workflow
  • Snowflake - Multimodal Video Understanding
  • Vespa - Multivector video retrieval
  • VideoDB - Real-time video understanding
  • Voxel51 - Semantic video search plugin
  • Weaviate - Leveraging RAG for Improved Video Processing Times
  • From the community
  • Communication and analysis
  • Content creation
  • Discovery and search
  • Education and training
  • E-learning
  • Gaming and entertainment
  • Interactive content
  • Media and entertainment
  • Social and public goods
  • Sports
Sample appsIntegrationsDiscordPlaygroundDevEx repo
Cloud partner integrations

Amazon Bedrock

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

Create embeddings with Marengo

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

Analyze videos with Pegasus

Analyze videos and generate text based on their content.

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