Swift API for Pinecone Vector database access
PineconeSwift
PineconeSwift is an open-source Swift Package designed to seamlessly integrate Pinecone, a powerful vector database, into your Swift applications. With PineconeSwift, you can easily leverage Pinecone’s capabilities to efficiently store and query high-dimensional vectors, enabling you to build state-of-the-art machine learning and recommendation systems.
Features
- Effortless integration with Pinecone, a high-performance vector database
- Support for key database operations, including upsert, query, fetch, and update
- Intuitive and easy-to-use API designed specifically for Swift developers
- Built with performance and scalability in mind, suitable for various application types
- Thoroughly tested and documented, ensuring a smooth development experience
PineconeSwift is your go-to solution for integrating Pinecone’s cutting-edge vector database technology into your Swift projects, enabling you to build advanced, scalable, and robust applications with ease.
Usage
For example for upsert:
Create an array of EmbedResult structs:
public struct EmbedResult: Codable {
public let id: String? = UUID().uuidString
public let index: Int
public let embedding: [Double]
public let text: String
public init(index: Int, embedding: [Double], text: String) {
self.index = index
self.embedding = embedding
self.text = text
}
}
Then simply create PineconeSwift object and call for upsert method:
let pai = PineconeSwift(apikey: {your_Pinecone_API_key}}, baseURL: {your Pinecone_base_url_to_index}})
let result = try await pai.upsertVectors(with: embeddings, namespace: {string}})