ForgeEmbed

Swift ForgeEmbed library product.

Package contract

Field	Value
Language	swift
Source version	Swift package source snapshot
Manifest	`forge-swift/Package.swift`
Source files	4
Evidence	Source reference; registry publication and runtime conformance are separate checks

Import boundary

import ForgeEmbed

Use a source checkout or your verified private registry. Manifest coordinates identify the package; they do not establish that a public registry release exists.

Download package reference JSON. Each original source file and generated declaration artifact has its own SHA-256 digest. Function bodies and constant values are omitted from downloads. These are source declaration inventories, not compiler-resolved rustdoc, TypeDoc, DocC, or Dokka output. Private modules can contain public declarations that are not reachable through the package boundary; consult the entry point before importing.

Chunking.swift

Read declaration text · 15 declaration entries

public struct TextChunk: Sendable

public let content: String
/// The zero-based index of this chunk.
public let index: Int
/// The character offset in the original text.
public let offset: Int

public init(content: String, index: Int, offset: Int)

public let index: Int
/// The character offset in the original text.
public let offset: Int

public init(content: String, index: Int, offset: Int)

public let offset: Int

public init(content: String, index: Int, offset: Int)

public init(content: String, index: Int, offset: Int)

public protocol ChunkingStrategy: Sendable

public struct FixedSizeChunker: ChunkingStrategy, Sendable

public let chunkSize: Int
/// The number of characters to overlap between adjacent chunks.
public let overlap: Int

/// Creates a fixed-size chunker.
///
/// - Parameters:
///   - chunkSize: Maximum characters per chunk.
///   - overlap: Character overlap between chunks.
public init(chunkSize: Int;

public let overlap: Int

/// Creates a fixed-size chunker.
///
/// - Parameters:
///   - chunkSize: Maximum characters per chunk.
///   - overlap: Character overlap between chunks.
public init(chunkSize: Int;

public init(chunkSize: Int;

public func chunk(_ text: String) -> [TextChunk]

public struct ParagraphChunker: ChunkingStrategy, Sendable

public let maxChunkSize: Int

/// Creates a paragraph chunker.
///
/// - Parameter maxChunkSize: Maximum characters per chunk.
public init(maxChunkSize: Int;

public init(maxChunkSize: Int;

public func chunk(_ text: String) -> [TextChunk]

Provider.swift

Read declaration text · 7 declaration entries

public struct EmbeddingResult: Sendable

public let embedding: [Float]
/// The input text that was embedded.
public let input: String
/// Token usage for this embedding call.
public let usage: Usage

public init(embedding: [Float], input: String, usage: Usage)

public let input: String
/// Token usage for this embedding call.
public let usage: Usage

public init(embedding: [Float], input: String, usage: Usage)

public let usage: Usage

public init(embedding: [Float], input: String, usage: Usage)

public init(embedding: [Float], input: String, usage: Usage)

public protocol EmbeddingProvider: Sendable

public func embedBatch(texts: [String], options: EmbedOptions) async throws -> [EmbeddingResult]

Similarity.swift

Read declaration text · 5 declaration entries

public enum DistanceMetric: String, Codable, Sendable

public func computeSimilarity(
_ a: [Float],
_ b: [Float],
metric: DistanceMetric
) -> Float

public func cosineSimilarity(_ a: [Float], _ b: [Float]) -> Float

public func euclideanDistance(_ a: [Float], _ b: [Float]) -> Float

public func dotProduct(_ a: [Float], _ b: [Float]) -> Float

VectorStore.swift

Read declaration text · 17 declaration entries

public struct VectorDocument: Sendable

public let id: String
/// The original text content.
public let content: String
/// The embedding vector.
public let embedding: [Float]
/// Optional metadata.
public let metadata: [String: JSONValue]

public init(id: String, content: String, embedding: [Float], metadata: [String: JSONValue];

public let content: String
/// The embedding vector.
public let embedding: [Float]
/// Optional metadata.
public let metadata: [String: JSONValue]

public init(id: String, content: String, embedding: [Float], metadata: [String: JSONValue];

public let embedding: [Float]
/// Optional metadata.
public let metadata: [String: JSONValue]

public init(id: String, content: String, embedding: [Float], metadata: [String: JSONValue];

public let metadata: [String: JSONValue]

public init(id: String, content: String, embedding: [Float], metadata: [String: JSONValue];

public init(id: String, content: String, embedding: [Float], metadata: [String: JSONValue];

public struct SearchResult: Sendable

public let document: VectorDocument
/// The similarity score.
public let score: Float

public init(document: VectorDocument, score: Float)

public let score: Float

public init(document: VectorDocument, score: Float)

public init(document: VectorDocument, score: Float)

public final class InMemoryVectorStore: @unchecked Sendable

public init(metric: DistanceMetric;

public func add(_ document: VectorDocument)

public func addBatch(_ documents: [VectorDocument])

public func search(query: [Float], topK: Int;

public func remove(_ id: String) -> VectorDocument?

public var count: Int