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The Problem

AI agents can reason about text brilliantly. But show them a 30-minute meeting recording and ask “what did the client say about pricing?” - they fail. Video files are opaque blobs. Your agent can’t query them, can’t search them, can’t get timestamped answers from them.

The Platform Loop

Every VideoDB workflow follows the same pattern:

Quick Example


See: Three Input Types

Same APIs work downstream. Index a Video or an RTStream the same way.

Understand: Indexes Are Everything

Indexes are what transform opaque media into searchable knowledge. You create them with prompts.

Spoken Index

Transcribes audio and makes it searchable:

Visual Index

Understands what’s happening on screen:

Multiple Indexes

Create different perspectives on the same media:
Indexes are additive. Add new ones without reprocessing. Remove old ones without affecting others.

Search Returns Evidence

Search returns timestamps and playable links - not just “found” but verifiable.
Every result maps to a playable moment. Your agent can cite its sources.

Act: Events, Alerts, Editing

Trigger on conditions

Compose with code


Objects at a Glance


Next Steps

Quickstart

Try it hands-on

Core Concepts (Full)

Deep dive with examples

Data Model

All objects and relationships

Indexes & Search

How indexing and retrieval work