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

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

modelundefined · enumRequiredPossible values:

inputany ofRequired

string · min: 1Optional

or

string[] · min: 1Optional

dimensionsnumber · nullableOptional

auto_truncatebooleanOptionalDefault: true

task_typestring · enumOptionalPossible values:

titlestringOptional

encoding_formatstringOptional

Responses

201Success

post

/v1/embeddings

HTTPcURLJavaScriptPython

POST /v1/embeddings HTTP/1.1
Host: api.apilaplas.com
Authorization: Bearer YOUR_SECRET_TOKEN
Content-Type: application/json
Accept: */*
Content-Length: 169

{
  "model": "textembedding-gecko-multilingual@001",
  "input": "text",
  "dimensions": 1,
  "auto_truncate": true,
  "task_type": "RETRIEVAL_QUERY",
  "title": "text",
  "encoding_format": "text"
}

201Success

No content