Dripfarm/SVDB
Swift Vector Database. On-device, local vector database for building the next-generation of user experiences
This helps app developers create responsive, intelligent features directly within their iOS, macOS, or watchOS applications. It takes text or other data, converts it into numerical 'embeddings,' and stores them locally on the user's device. Developers can then quickly search these embeddings to power personalized recommendations, context-aware assistance, or advanced search features without relying on cloud services.
219 stars.
Use this if you are a Swift developer building an application that needs fast, private, and offline-capable semantic search or content recommendation features directly on a user's device.
Not ideal if you are working with large-scale, server-side data processing or need a multi-user, distributed vector database.
Stars
219
Forks
11
Language
Swift
License
MIT
Category
Last pushed
Dec 07, 2025
Commits (30d)
0
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