import type { FunctionDefinition } from '../../definition_types';
/**
 * Generates dense vector embeddings from multimodal input using a specified inference endpoint with the `embedding` task type. Use this function to generate query vectors for KNN searches from multimodal inputs against your vectorized data or other dense vector based operations.
 *
 * @example
 * FROM dense_vector_text METADATA _score
 * | EVAL query_embedding = EMBEDDING("be excellent to each other", "test_embedding_inference")
 * | WHERE KNN(text_embedding_field, query_embedding)
 * | SORT _score DESC
 * | LIMIT 10
 *
 * @example
 * ROW b64_input="This is an image"
 * | EVAL embedding = EMBEDDING("data:image/jpeg;base64,VGhpcyBpcyBhbiBpbWFnZQ==", "test_embedding_inference", {"type": "image"})
 */
declare const definition: FunctionDefinition;
export default definition;
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