1 files changed, 105 insertions, 0 deletions
diff --git a/packages/sdk/src/local-embedding-provider.test.ts b/packages/sdk/src/local-embedding-provider.test.ts
new file mode 100644
index 0000000..b002e00
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+++ b/packages/sdk/src/local-embedding-provider.test.ts
@@ -0,0 +1,105 @@
+import { describe, it, expect, beforeAll } from "vitest";
+import { LocalEmbeddingProvider } from "./local-embedding-provider.js";
+import type { EmbeddingProvider } from "./embedding-provider.js";
+
+describe("LocalEmbeddingProvider", () => {
+	describe("interface compliance", () => {
+		it("implements EmbeddingProvider interface", () => {
+			const provider: EmbeddingProvider = new LocalEmbeddingProvider();
+
+			expect(provider.generate).toBeDefined();
+			expect(provider.generateBatch).toBeDefined();
+			expect(provider.dimensions).toBeDefined();
+		});
+	});
+	describe("dimensions", () => {
+		it("returns 384 for MiniLM model", () => {
+			const provider = new LocalEmbeddingProvider({
+				model: "Xenova/all-MiniLM-L6-v2",
+			});
+
+			expect(provider.dimensions).toBe(384);
+		});
+		it("returns 384 for bge-small model", () => {
+			const provider = new LocalEmbeddingProvider({
+				model: "Xenova/bge-small-en-v1.5",
+			});
+
+			expect(provider.dimensions).toBe(384);
+		});
+		it("returns 768 for bge-base model", () => {
+			const provider = new LocalEmbeddingProvider({
+				model: "Xenova/bge-base-en-v1.5",
+			});
+
+			expect(provider.dimensions).toBe(768);
+		});
+		it("defaults to MiniLM with 384 dimensions", () => {
+			const provider = new LocalEmbeddingProvider();
+
+			expect(provider.dimensions).toBe(384);
+		});
+	});
+	describe("generate", () => {
+		let provider: LocalEmbeddingProvider;
+
+		beforeAll(() => {
+			provider = new LocalEmbeddingProvider({
+				model: "Xenova/all-MiniLM-L6-v2",
+			});
+		});
+		it("returns an array of numbers", async () => {
+			const embedding = await provider.generate("Hello world");
+
+			expect(Array.isArray(embedding)).toBe(true);
+			expect(embedding.every((element) => typeof element === "number")).toBe(
+				true,
+			);
+		});
+		it("returns embedding with correct dimensions", async () => {
+			const embedding = await provider.generate("Hello world");
+
+			expect(embedding).toHaveLength(provider.dimensions);
+		});
+		it("returns normalized embedding vectors", async () => {
+			const embedding = await provider.generate("Test normalization");
+			const magnitude = Math.sqrt(
+				embedding.reduce(
+					(accumulatedSquareSum, component) =>
+						accumulatedSquareSum + component * component,
+					0,
+				),
+			);
+
+			expect(magnitude).toBeCloseTo(1, 4);
+		});
+	});
+	describe("generateBatch", () => {
+		let provider: LocalEmbeddingProvider;
+
+		beforeAll(() => {
+			provider = new LocalEmbeddingProvider({
+				model: "Xenova/all-MiniLM-L6-v2",
+			});
+		});
+		it("returns correct number of embeddings", async () => {
+			const texts = ["Hello", "World", "Test"];
+			const embeddings = await provider.generateBatch(texts);
+
+			expect(embeddings).toHaveLength(texts.length);
+		});
+		it("returns embeddings with correct dimensions for each text", async () => {
+			const texts = ["Hello", "World"];
+			const embeddings = await provider.generateBatch(texts);
+
+			for (const embedding of embeddings) {
+				expect(embedding).toHaveLength(provider.dimensions);
+			}
+		});
+		it("throws error for empty input", async () => {
+			await expect(provider.generateBatch([])).rejects.toThrow(
+				"text array must be non-empty",
+			);
+		});
+	});
+});