SVDB

Overview

SVDB is a fast on-device vector database for Swift apps. You add documents with their embeddings to a collection and search them by similarity, all on the device. It is for developers building features that rely on on-device intelligence.

Features

• Stores documents and embedding vectors in named collections
• Similarity search over a collection
• Works with embeddings from any source, such as an OpenAI package or on-device models
• Includes a demo

Requirements

• Embeddings come from a separate source you provide

Install

1. Add the package in Xcode or Package.swift

   .package(url: "https://github.com/Dripfarm/SVDB.git", from: "1.0.0")

Example

Create an "animals" collection, add an embedding for "cat", then search with the embedding for "dog" to find the closest matches.