64 lines
1.8 KiB
Markdown
64 lines
1.8 KiB
Markdown
```swift title="Swift"
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import Kreuzberg
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// Wrap a custom embedder (e.g., CoreML, ONNX, API-based).
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// The Swift class must implement the EmbeddingBackend protocol.
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final class MyEmbedder: EmbeddingBackend {
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private let modelUrl: URL
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init(modelUrl: URL) {
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self.modelUrl = modelUrl
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}
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// Plugin trait hooks
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func name() -> String {
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"my-embedder"
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}
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func version() -> String {
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"1.0.0"
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}
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func initialize() -> String { // Returns JSON-encoded Result
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do {
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// Warm-up logic here
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return "{\"ok\": null}"
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} catch {
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return "{\"err\": \"Failed to initialize: \(error)\"}"
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}
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}
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func shutdown() -> String { // Returns JSON-encoded Result
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"{\"ok\": null}"
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}
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// EmbeddingBackend hooks
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func dimensions() -> UInt {
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// Fixed dimensionality for this backend
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768
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}
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func embed(texts: [String]) -> String { // Returns JSON-encoded Vec<Vec<f32>>
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do {
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// Embed texts using your backend (e.g., CoreML inference)
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let embeddings: [[Float]] = texts.map { _ in
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Array(repeating: 0.5, count: 768) // Placeholder
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}
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let data = try JSONEncoder().encode(embeddings)
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let json = String(data: data, encoding: .utf8) ?? "[]"
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return "{\"ok\": \(json)}"
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} catch {
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return "{\"err\": \"Embedding failed: \(error)\"}"
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}
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}
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}
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// Register once at startup
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let embedder = MyEmbedder(modelUrl: URL(fileURLWithPath: "/path/to/model"))
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try Kreuzberg.registerEmbeddingBackend(embedder)
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print("Embedding backend 'my-embedder' registered")
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// The registered backend can now be referenced by name in EmbeddingConfig
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// via the plugin selection mechanism once alef supports it
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```
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