textembedding-gecko

This documentation is valid for the following list of our models:

• textembedding-gecko-multilingual@001

• textembedding-gecko@001

• textembedding-gecko@003

Model Overview

A state-of-the-art text embedding model designed to convert textual data into numerical vector representations. It captures semantic meanings and relationships within the text, facilitating various natural language processing (NLP) tasks.

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

Submit a request

API Schema

post

Authorizations

Body

modelundefined · enumrequired

Options: textembedding-gecko-multilingual@001, textembedding-gecko@001, textembedding-gecko@003

inputany ofrequired

dimensionsnumber | nullableoptional

auto_truncateboolean · default: trueoptional

task_typestring · enumoptional

Options: RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY, CLASSIFICATION, CLUSTERING, QUESTION_ANSWERING, FACT_VERIFICATION

titlestringoptional

encoding_formatstringoptional

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/embeddings' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "textembedding-gecko-multilingual@001",
    "input": "text",
    "dimensions": 1,
    "auto_truncate": true,
    "task_type": "RETRIEVAL_QUERY",
    "title": "text",
    "encoding_format": "text"
  }'

201

201

No body