curl --request POST \
  --url https://api.runflow.ai/api/v1/runtime/vector-stores \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "embeddingConfigId": "<string>",
  "llmProviderConfigId": "<string>",
  "llmModelConfigId": "<string>",
  "type": "KNOWLEDGE",
  "metadata": {},
  "chunkSize": 1000,
  "chunkOverlap": 200,
  "chunkStrategy": "recursive"
}
'

import requests

url = "https://api.runflow.ai/api/v1/runtime/vector-stores"

payload = {
    "name": "<string>",
    "description": "<string>",
    "embeddingConfigId": "<string>",
    "llmProviderConfigId": "<string>",
    "llmModelConfigId": "<string>",
    "type": "KNOWLEDGE",
    "metadata": {},
    "chunkSize": 1000,
    "chunkOverlap": 200,
    "chunkStrategy": "recursive"
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    description: '<string>',
    embeddingConfigId: '<string>',
    llmProviderConfigId: '<string>',
    llmModelConfigId: '<string>',
    type: 'KNOWLEDGE',
    metadata: {},
    chunkSize: 1000,
    chunkOverlap: 200,
    chunkStrategy: 'recursive'
  })
};

fetch('https://api.runflow.ai/api/v1/runtime/vector-stores', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.runflow.ai/api/v1/runtime/vector-stores",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => '<string>',
    'description' => '<string>',
    'embeddingConfigId' => '<string>',
    'llmProviderConfigId' => '<string>',
    'llmModelConfigId' => '<string>',
    'type' => 'KNOWLEDGE',
    'metadata' => [
        
    ],
    'chunkSize' => 1000,
    'chunkOverlap' => 200,
    'chunkStrategy' => 'recursive'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.runflow.ai/api/v1/runtime/vector-stores"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"embeddingConfigId\": \"<string>\",\n  \"llmProviderConfigId\": \"<string>\",\n  \"llmModelConfigId\": \"<string>\",\n  \"type\": \"KNOWLEDGE\",\n  \"metadata\": {},\n  \"chunkSize\": 1000,\n  \"chunkOverlap\": 200,\n  \"chunkStrategy\": \"recursive\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.runflow.ai/api/v1/runtime/vector-stores")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"embeddingConfigId\": \"<string>\",\n  \"llmProviderConfigId\": \"<string>\",\n  \"llmModelConfigId\": \"<string>\",\n  \"type\": \"KNOWLEDGE\",\n  \"metadata\": {},\n  \"chunkSize\": 1000,\n  \"chunkOverlap\": 200,\n  \"chunkStrategy\": \"recursive\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.runflow.ai/api/v1/runtime/vector-stores")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"embeddingConfigId\": \"<string>\",\n  \"llmProviderConfigId\": \"<string>\",\n  \"llmModelConfigId\": \"<string>\",\n  \"type\": \"KNOWLEDGE\",\n  \"metadata\": {},\n  \"chunkSize\": 1000,\n  \"chunkOverlap\": 200,\n  \"chunkStrategy\": \"recursive\"\n}"

response = http.request(request)
puts response.read_body