For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.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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Docs & GuidesAPI Reference
Docs & GuidesAPI Reference
  • Introduction
    • Overview
    • Why Coactive
    • Release Notes
  • Getting started
    • Accepted Media Formats
    • Cloud Storage Access (Beta)
  • Administration
    • User Roles (RBAC)
    • Ingestion Observability (Beta)
  • Core Features
    • Agentic Search
    • Intelligent Search
    • Concepts
    • Query Engine
  • Experimental
  • Deep Dives
    • Analyzing Concepts with SQL
    • Analyzing Dynamic Tags with SQL
    • The Power of Visual Data
    • Metadata Generation for Videos
    • Programmatically Retrieve SQL results
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Introduction

Why Coactive

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Built with

Building the capabilities to work with unstructured visual data requires cross-functional collaboration across teams proficient in:

  • Data Engineering to process large volumes of visual data.
  • Machine Learning for classification.
  • Data Science to make sense of the results.
  • Software Engineering to serve the results.

Beyond the large talent and time resources needed, such a solution requires a high degree of coordination and hand-offs.

Using coactive, you can immediately begin to drive value from your visual data using our web UX or programmatically using our REST API.

Interested in getting started with coactive? Request a demo from our sales team.