Vision AI Agents — Search Platform Architecture

Vision AI Agents provides a full video intelligence pipeline that ingests video content, extracts intelligence signals, generates structured metadata and vector embeddings, and enables developers to search and retrieve results using APIs.

This architecture enables developers to build applications that understand and search video content using both structured and semantic signals.

Platform Pipeline

The Vision AI Agents platform follows a multi-stage processing pipeline.

Video Upload
     ↓
Video Ingest Service
     ↓
Video Intelligence Processing
     ↓
Metadata Extraction
     ↓
Vector Embedding Generation
     ↓
Index Storage
     ↓
Search APIs
     ↓
Application or Hosted Search UI

Pipeline Stages

Stage Description Output
Video Upload Video content is submitted to the platform via API Video file received
Video Ingest Platform registers the video and generates a system identifier video_id
Intelligence Processing Video frames, audio, and script signals are analyzed Structured intelligence signals
Metadata Extraction Scene-level metadata is extracted from analysis results Structured metadata
Vector Embedding Generation Scene intelligence is converted into vector embeddings Vector embeddings
Index Storage Metadata and vectors are stored in the search index Indexed intelligence
Search APIs Developers query indexed data Search results

Video Ingest Layer

The ingest layer is responsible for receiving video content and generating system identifiers.

Ingest Capabilities

Capability Description
Single Video Upload Upload a single video through the ingest API
Batch Video Ingest Upload multiple videos within a batch ingestion request
Automatic Video ID Generation Each ingested video receives a unique video_id
Processing Job Creation Creates an asynchronous job for intelligence processing

Once a video is ingested, the platform returns a video_id.

This identifier is used for all downstream operations including analysis, audience testing, and search queries.

Intelligence Processing Layer

The intelligence layer analyzes video content and extracts signals across multiple domains.

The system processes video frames, audio streams, and script content to produce structured analysis results.

Processing Domains

Domain Description
Actor Engagement Signals Measures actor emotion, eye contact, and visual engagement signals
Audio Signal Analysis Extracts audio patterns, rhythm, and audio genre characteristics
Script Linguistics Analyzes dialogue structure, narrative meaning, and sentiment
Visual Traversal Patterns Analyzes color movement and scene composition
Narrative Crescendos Identifies emotional or narrative peaks within scenes

Developers may run full analysis or request selective modules.

Metadata Extraction

During intelligence processing, structured metadata is extracted from video content.

Extracted Metadata

Metadata Field Description
Scene Description Generated description of the scene content
Actor Engagement Signals Indicators of actor emotional presence and engagement
Emotion Classification Detected emotional signals within scenes
Audio Patterns Detected audio events and patterns
Narrative Events Key narrative moments identified in scenes
Scene Timestamp Timestamp where the event occurs in the video

This metadata is stored in the platform index and used for structured filtering during search.

Vector Embedding Generation

Vision AI Agents converts scene-level intelligence signals into vector embeddings.

Vector embeddings enable semantic search across video libraries.

Embedding Signals

Embedding Type Description
Narrative Embeddings Capture narrative meaning of scenes
Emotion Embeddings Represent emotional engagement signals
Scene Semantic Embeddings Represent visual and contextual meaning
Audience Engagement Embeddings Represent audience interaction signals

These embeddings allow developers to search for concepts rather than exact metadata matches.

Index Storage

The platform stores both metadata and vector embeddings within the search index.

Indexed Signals

Indexed Data Description
Structured Metadata Scene descriptions and classification signals
Scene Timestamps Exact location of scene events in video
Engagement Scores Signals representing engagement intensity
Vector Embeddings Semantic representations used for similarity search

This index powers both structured queries and semantic search.

Audience Testing Layer

Developers can optionally request audience testing through the platform APIs.

Audience testing measures aggregated engagement signals from participants watching video content.

Audience Signals

Signal Description
Emotion Engagement Aggregated emotional responses from viewers
Attention Intensity Measures viewer focus levels during scenes
Engagement Zones Scenes with high engagement
Drop-off Zones Scenes where viewer interest declines

Audience testing is requested using a video_id generated during ingest.

Search and Retrieval Layer

After video content has been analyzed and indexed, developers can retrieve results using the search APIs.

Search Capabilities

Capability Description
Semantic Search Search scenes using vector embeddings
Structured Filtering Filter search results using metadata fields
Scene Retrieval Retrieve scene-level timestamps and descriptions

Search results return scene-level intelligence signals including timestamps, descriptions, and relevance scores.

Search Delivery Models

Vision AI Agents supports two search integration models.

Search Integration Models

Model Description
Hosted Search Experience Developers use the Vision AI Agents hosted search interface
External Application Integration Developers integrate search APIs directly into their own applications

Data Flow Summary

The full platform data flow looks like this.

Video Upload
     ↓
Ingest API
     ↓
Video ID Generated
     ↓
Intelligence Processing
     ↓
Metadata Extraction
     ↓
Vector Embeddings Created
     ↓
Indexed Storage
     ↓
Search APIs
     ↓
Application Results

This architecture allows developers to build scalable video intelligence applications without needing to implement their own analysis pipelines.

Developer Integration Points

Developers interact with the platform through four primary API groups.

API Group Description
Video Ingest APIs Upload and register videos in the platform
Video Intelligence APIs Run analysis and intelligence extraction
Audience Testing APIs Request audience engagement analytics
Search APIs Retrieve indexed intelligence signals

These APIs allow developers to integrate Vision AI Agents into existing applications or build entirely new video intelligence platforms.

Next Documentation

Developers integrating Vision AI Agents should review the following documentation next:

  • API Reference
  • Rate Limits and Usage Tiers
  • Authentication
  • Search Integration Guide