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.

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API Schema

post

Authorizations

Body

modelundefined · enumrequired

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

inputany ofrequired

dimensionsnumber | nullable

auto_truncateboolean · default: true

task_typestring · enum

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

titlestring

encoding_formatstring

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