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Embeddings

(llm.embeddings)

Overview

Available Operations

  • embed - Create text embeddings

embed

Generate vector embeddings for single or multiple text inputs using various embedding models (OpenAI, Google, Anthropic, etc.). Embeddings convert text into numerical vectors that capture semantic meaning, enabling similarity search, clustering, and other vector-based operations. Supports batch processing of up to 2048 texts in a single request. Returns floating-point vectors along with token usage statistics for cost tracking and optimization.

Example Usage

typescript
import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.llm.embeddings.embed({
    input: [
      "<value 1>",
    ],
    model: "Wrangler",
  });

  console.log(result);
}

run();

Standalone function

The standalone function version of this method:

typescript
import { SDKCore } from "@meetkai/mka1/core.js";
import { llmEmbeddingsEmbed } from "@meetkai/mka1/funcs/llmEmbeddingsEmbed.js";

// Use `SDKCore` for best tree-shaking performance.
// You can create one instance of it to use across an application.
const sdk = new SDKCore({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const res = await llmEmbeddingsEmbed(sdk, {
    input: [
      "<value 1>",
    ],
    model: "Wrangler",
  });
  if (res.ok) {
    const { value: result } = res;
    console.log(result);
  } else {
    console.log("llmEmbeddingsEmbed failed:", res.error);
  }
}

run();

React hooks and utilities

This method can be used in React components through the following hooks and associated utilities.

Check out this guide for information about each of the utilities below and how to get started using React hooks.

tsx
import {
  // Mutation hook for triggering the API call.
  useLlmEmbeddingsEmbedMutation
} from "@meetkai/mka1/react-query/llmEmbeddingsEmbed.js";

Parameters

ParameterTypeRequiredDescription
requestoperations.EmbedRequestBody✔️The request object to use for the request.
optionsRequestOptionsUsed to set various options for making HTTP requests.
options.fetchOptionsRequestInitOptions that are passed to the underlying HTTP request. This can be used to inject extra headers for examples. All Request options, except method and body, are allowed.
options.retriesRetryConfigEnables retrying HTTP requests under certain failure conditions.

Response

Promise<operations.EmbedResponseBody>

Errors

Error TypeStatus CodeContent Type
errors.APIError4XX, 5XX*/*