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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On this page
  • What is Coactive?
  • What problems does Coactive solve?
  • Multimodal search
Introduction

Overview

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Why Coactive

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What is Coactive?

Coactive is a Multimodal Application Platform for data practitioners (e.g., data scientists, machine learning engineers, etc.) who work with unstructured visual data (i.e, images and videos) at a massive scale. Coactive enables these data practitioners to unlock the value of their visual data in real-time through core functions such as intelligent search, metadata generation and analytical queries.

What problems does Coactive solve?

The following challenges render visual data ineffective for driving actionable insights rapidly.

  1. Lack of metadata: Metadata for images and videos is often incomplete, inaccurate, or completely lacking.
  2. Enormous volume: Visual data is large, which requires careful and efficient processing.
  3. Domain specific: Visual concepts are often nuanced in ways that existing solutions fail to capture.

Multimodal search

No labels, no problem! Don’t waste your time flipping through photos or scrubbing through videos. With a word or phrase, you can search your content library and refine the taxonomy of your content.

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