A new fast local on-device vector database for Swift Apps.
Built for those building the next-generation of user experiences only possible with on-device intelligence.
Local on-device vector databases are just the beginning.
To install it using the Swift Package Manager, either directly add it to your project using Xcode 11, or specify it as dependency in the Package.swift file:
// ...
dependencies: [
.package(url: "https://github.com/Dripfarm/SVDB.git", from: "1.0.0"),
],
//...
let document = "cat"
ChatGPT:
I find This Swift OpenAI package to be the best
import OpenAI
func embed(text: String) async -> [Double]? {
let query = EmbeddingsQuery(model: .textEmbeddingAda, input: text)
let result = try! await openAI.embeddings(query: query)
return result.data.first?.embedding
}
let wordEmbedding = embed(text: document)
NLEmbeddings
import NaturalLanguage
let embedding: NLEmbedding? = NLEmbedding.wordEmbedding(for: .english)
let wordEmedding = embedding?.vector(for: document) //returns double array
let animalCollection = SVDB.shared.collection("animals")
SVDB.shared.addDocument(text: document, embedding: wordEmbedding)
let dogEmedding = embedding?.vector(for: "dog")
let results = animalCollection.search(query: dogEmedding)
Check out the demo Demo
Not sure. I want to make it easier to add documents and take care of the embeddings for you. Any suggestions?
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent