Forget tags and filenames. Upload your images and let our AI understand what's in them. Search with natural language and find visually similar results in milliseconds.
512
EMBEDDING DIMS
<50ms
SEARCH LATENCY
CLIP
VISION MODEL
∞
SCALABILITY
[CAPABILITIES]
Traditional search matches keywords. We match visual meaning.
CLIP doesn't rely on tags — it 'sees' the image and maps its visual content to a rich semantic space.
Vector database returns similarity matches in under 50ms, even at massive scale.
Retrieval-Augmented Generation pipeline combines embedding-based retrieval with intelligent ranking.
Each image is distilled into a dense 512-dimensional vector capturing its complete visual essence.
Search with plain language — type "sunset over ocean" and find visually matching images instantly.
Your images stay private. Auth-protected with encrypted embeddings at rest.
[WORKFLOW]
Three steps to visual search.
Upload your images through the web interface. CLIP processes each one into a 512-d embedding vector automatically.
Embeddings are stored in our vector database for instant, scalable similarity search across your entire collection.
Type a natural language query or upload a reference image. Get visually similar results in milliseconds.
[STACK]
Join VAWD_IMAGE and experience truly intelligent visual search.