Gemini 原生文本嵌入接口 - 向量嵌入生成

var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

import java.io.*;
import java.net.*;
import java.util.*;

URL url = new URL("https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Accept", "application/json");
conn.setRequestProperty("Authorization", "Bearer YOUR_API_KEY");
conn.setRequestProperty("Content-Type", "application/json");
conn.setDoOutput(true);
String jsonInputString = "{
    \"content\": {
        \"parts\": [
            {
                \"text\": \"What is the meaning of life?\"
            }
        ]
    },
    \"output_dimensionality\": 768,
    \"taskType\": \"SEMANTIC_SIMILARITY\"
}";
try(OutputStream os = conn.getOutputStream()) {
    byte[] input = jsonInputString.getBytes("utf-8");
    os.write(input, 0, input.length);
}
int responseCode = conn.getResponseCode();
System.out.println("Response Code: " + responseCode);

import Foundation

let urlString = "https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent"
guard let url = URL(string: urlString) else { return }
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("application/json", forHTTPHeaderField: "Accept")
request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
request.addValue("application/json", forHTTPHeaderField: "Content-Type")
let httpBody = "{
    \"content\": {
        \"parts\": [
            {
                \"text\": \"What is the meaning of life?\"
            }
        ]
    },
    \"output_dimensionality\": 768,
    \"taskType\": \"SEMANTIC_SIMILARITY\"
}"
request.httpBody = httpBody.data(using: .utf8)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let data = data {
        print(String(data: data, encoding: .utf8)!)
    }
}
task.resume()

package main

import (
    "fmt"
    "io"
    "net/http"
)

func main() {
    body := strings.NewReader(`{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}`)
    req, _ := http.NewRequest("POST", "https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent", body)
    req.Header.Set("Accept", "application/json")
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
    bodyBytes, _ := io.ReadAll(resp.Body)
    fmt.Println(string(bodyBytes))
}

<?php

$curl = curl_init();
curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}',
  CURLOPT_HTTPHEADER => array(
    "Accept: application/json",
    "Authorization: Bearer YOUR_API_KEY",
    "Content-Type: application/json",
  ),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;

import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
   'Content-Type': 'application/json',
}
conn.request("POST", "/v1beta/models/gemini-embedding-001:embedContent", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

POST https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent HTTP/1.1
Accept: application/json
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}

CURL *hnd = curl_easy_init();
curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Accept: application/json");
headers = curl_slist_append(headers, "Authorization: Bearer YOUR_API_KEY");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{
    \"content\": {
        \"parts\": [
            {
                \"text\": \"What is the meaning of life?\"
            }
        ]
    },
    \"output_dimensionality\": 768,
    \"taskType\": \"SEMANTIC_SIMILARITY\"
}");
CURLcode ret = curl_easy_perform(hnd);

var client = new RestClient("https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent");
var request = new RestRequest(Method.POST);
request.AddHeader("Accept", "application/json");
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", @"{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);

#import <Foundation/Foundation.h>

NSURL *url = [NSURL URLWithString:@"https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent"];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"application/json" forHTTPHeaderField:@"Accept"];
[request setValue:@"Bearer YOUR_API_KEY" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:[@"{
    \"content\": {
        \"parts\": [
            {
                \"text\": \"What is the meaning of life?\"
            }
        ]
    },
    \"output_dimensionality\": 768,
    \"taskType\": \"SEMANTIC_SIMILARITY\"
}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLSessionDataTask *task = [[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
}];
[task resume];

require "uri"
require "net/http"
require "json"

url = URI("https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = "application/json"
request["Authorization"] = "Bearer YOUR_API_KEY"
request["Content-Type"] = "application/json"
request.body = '{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}'
response = http.request(request)
puts response.read_body

(* Requires cohttp and lwt *)

let url = "https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent" in
let headers = Cohttp.Header.of_list [
  ("Accept", "application/json");
  ("Authorization", "Bearer YOUR_API_KEY");
  ("Content-Type", "application/json");
] in
let body = Cohttp_lwt.Body.of_string '{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}' in
Lwt_main.run (
  Cohttp_lwt_unix.Client.request ?body:(Some body) ~method_:`POST ~headers (Uri.of_string url)
  >>= fun (resp, body) ->
  Cohttp_lwt.Body.to_string body >|= fun s -> print_endline s
)

import 'package:http/http.dart' as http;
import 'dart:convert';

var headers = {
  "Accept": "application/json",
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json",
};
var body = json.encode({
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
});
var response = await http.post(Uri.parse("https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent"), headers: headers, body: body);
print(response.body);

library(httr)

url <- "https://api.quickrouter.ai/v1beta/models/gemini-embedding-001:embedContent"
body <- '{
    "content": {
        "parts": [
            {
                "text": "What is the meaning of life?"
            }
        ]
    },
    "output_dimensionality": 768,
    "taskType": "SEMANTIC_SIMILARITY"
}'
response <- post(url, body = body, add_headers("Accept" = "application/json", "Authorization" = "Bearer YOUR_API_KEY", "Content-Type" = "application/json"))
content(response, "text", encoding = "UTF-8")