@anvia/fastembed: Examples

Minimal embeddings

import { createFastEmbedEmbeddingModel } from "@anvia/fastembed";

const embeddingModel = await createFastEmbedEmbeddingModel();
const vectors = await embeddingModel.embedTexts([
  "Password reset links expire after 30 minutes.",
]);

console.log(vectors[0]?.values.length);

Product-shaped ingestion

import { embedDocuments } from "@anvia/core/embeddings";
import { createFastEmbedEmbeddingModel } from "@anvia/fastembed";

const embeddingModel = await createFastEmbedEmbeddingModel({ maxBatchSize: 32 });

export async function embedSupportArticles(articles: SupportArticle[]) {
  return embedDocuments(embeddingModel, articles, {
    id: (article) => article.id,
    content: (article) => article.title + "\n" + article.body,
    metadata: (article) => ({
      product: article.product,
      updatedAt: article.updatedAt,
    }),
  });
}

Harness shape

import { describe, expect, it } from "vitest";

describe("embedding model", () => {
  it("returns one vector per input", async () => {
    const model = await createFastEmbedEmbeddingModel();
    const result = await model.embedTexts(["alpha", "beta"]);

    expect(result).toHaveLength(2);
    expect(result[0]?.values.length).toBeGreaterThan(0);
  });
});

Run local embedding tests only where model download/runtime cost is acceptable. For normal app tests, mock the EmbeddingModel contract.