SwiftSemanticSearch

by ashvardanian · indexed from github

Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

This Swift demo app shows you how to build real-time native AI-powered apps for Apple devices using Unum's Swift libraries and quantized models. Under the hood, it uses UForm to understand and "embed" multimodal data, like multilingual texts and images, processing them on the fly from a camera feed. Once the vector embeddings are computed, it uses USearch to provide a real-time search over the semantic space. That same engine also enables geo-spatial search over the coordinates of the images and has been shown to scale even to 100M+ entries on an 🍏 iPhone easily.

Indexed · not connectedimage
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# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ashvardanian-swiftsemanticsearch/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

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