How This Helps
Semantic Search returns results based on the meaning of your query—not just keyword matches. It’s perfect for finding relevant content using natural language.
Overview
TheGET /api/v1/explore/{dataset_id} endpoint enables semantic search over captions—using models that understand language and context, not just keywords.
Example query:
- “A golden retriever catching a frisbee in mid-air”
- “Puppy chasing a red toy across the grass”
- “Canine fetching a tennis ball at the park”
Basic Caption Search
Query Parameters
image_caption(string): your semantic querytextual_similarity_threshold(float): e.g.0.75entity_type(string): e.g.IMAGES
Example (cURL)
Sample Response
Response Concepts
clusters: Groups of visually similar resultsmedia: Items in each clustercaption: AI-generated or user-supplied descriptionrelevance_score: Semantic match score (0.0–1.0)