TwelveLabs offers two ways to work with your content. Models work on one video at a time. Even when you search an index of many videos, each result comes from a single video, and you combine the results yourself. Agents (Jockey) work across all the videos and images in a knowledge store and can reason across them.

Dedicated APIs for search, analysis, segmentation, and embeddings. You call each one and combine the results yourself.

A unified agentic system that reasons across your videos and images. Ask a question, and Jockey plans its own steps, then answers with grounded, cited moments.

Which one fits your task?

Models

Search for moments across your videos with text or image queries
Analyze a single video or one or more images for summaries or answers to your prompts
Segment a video into labeled, timestamped parts
Generate vector embeddings for your machine-learning pipeline

Start with the Playground or the Models API.

Agents

Have Jockey reason over a knowledge store
Ask a question that spans every video and image in the store
Reason through a complex question that no single search or analysis can answer
Track a person or object across multiple videos
Organize or classify a video library by topic
Build multi-step workflows that return structured JSON output

Start with the Jockey MCP or the Agents API.

Need both? Use Models for embeddings and per-video analysis, and Agents for corpus-level reasoning. Both start from an asset, a file you upload once, so you can use the same asset in each.

Already using Models? See Migrate from Models to compare the two and move your workflows.