curl --request POST \
  --url https://api.example.com/api/kb/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/x-www-form-urlencoded' \
  --data 'collection=<string>' \
  --data 'query_text=<string>' \
  --data embedding_model_id=text-embedding-v4 \
  --data top_k=50 \
  --data 'filters={}' \
  --data 'fusion_config={}' \
  --data 'rerank_model_id=<string>' \
  --data rerank_top_k=123 \
  --data readonly=true \
  --data nprobes=123 \
  --data refine_factor=123 \
  --data fallback_to_sparse=true

import requests

url = "https://api.example.com/api/kb/search"

payload = {
    "collection": "<string>",
    "query_text": "<string>",
    "embedding_model_id": "text-embedding-v4",
    "top_k": "50",
    "filters": "{}",
    "fusion_config": "{}",
    "rerank_model_id": "<string>",
    "rerank_top_k": "123",
    "readonly": "true",
    "nprobes": "123",
    "refine_factor": "123",
    "fallback_to_sparse": "true"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/x-www-form-urlencoded"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {
    Authorization: 'Bearer <token>',
    'Content-Type': 'application/x-www-form-urlencoded'
  },
  body: new URLSearchParams({
    collection: '<string>',
    query_text: '<string>',
    embedding_model_id: 'text-embedding-v4',
    top_k: '50',
    filters: '{}',
    fusion_config: '{}',
    rerank_model_id: '<string>',
    rerank_top_k: '123',
    readonly: 'true',
    nprobes: '123',
    refine_factor: '123',
    fallback_to_sparse: 'true'
  })
};

fetch('https://api.example.com/api/kb/search', 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.example.com/api/kb/search",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "collection=%3Cstring%3E&query_text=%3Cstring%3E&embedding_model_id=text-embedding-v4&top_k=50&filters=%7B%7D&fusion_config=%7B%7D&rerank_model_id=%3Cstring%3E&rerank_top_k=123&readonly=true&nprobes=123&refine_factor=123&fallback_to_sparse=true",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/x-www-form-urlencoded"
  ],
]);

$response = curl_exec($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.example.com/api/kb/search"

	payload := strings.NewReader("collection=%3Cstring%3E&query_text=%3Cstring%3E&embedding_model_id=text-embedding-v4&top_k=50&filters=%7B%7D&fusion_config=%7B%7D&rerank_model_id=%3Cstring%3E&rerank_top_k=123&readonly=true&nprobes=123&refine_factor=123&fallback_to_sparse=true")

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

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/x-www-form-urlencoded")

	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.example.com/api/kb/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/x-www-form-urlencoded")
  .body("collection=%3Cstring%3E&query_text=%3Cstring%3E&embedding_model_id=text-embedding-v4&top_k=50&filters=%7B%7D&fusion_config=%7B%7D&rerank_model_id=%3Cstring%3E&rerank_top_k=123&readonly=true&nprobes=123&refine_factor=123&fallback_to_sparse=true")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/kb/search")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/x-www-form-urlencoded'
request.body = "collection=%3Cstring%3E&query_text=%3Cstring%3E&embedding_model_id=text-embedding-v4&top_k=50&filters=%7B%7D&fusion_config=%7B%7D&rerank_model_id=%3Cstring%3E&rerank_top_k=123&readonly=true&nprobes=123&refine_factor=123&fallback_to_sparse=true"

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

{
  "status": "<string>",
  "search_type": "dense",
  "result_count": 123,
  "message": "<string>",
  "results": [
    {
      "doc_id": "<string>",
      "chunk_id": "<string>",
      "text": "<string>",
      "score": 0.5,
      "parse_hash": "<string>",
      "model_tag": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "metadata": {},
      "vector_score": 123,
      "fts_score": 123,
      "vector_rank": 2,
      "fts_rank": 2
    }
  ],
  "warnings": [
    "<string>"
  ],
  "used_rerank": false
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}