curl --request POST \
  --url https://api.v2.healthproximate.com/api/v1/search/ \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "query": "<string>",
  "vocabularies": [
    "<string>"
  ],
  "domain_id": "<string>",
  "top_k": 10,
  "find_relationship": false,
  "relationship_filters": {},
  "search_type": "websearch",
  "language": "english",
  "use_search_rank": true,
  "rank_normalization": 0,
  "min_relevance": -2,
  "include_bridges": false,
  "filter_to_input_vocab": true
}
'

import requests

url = "https://api.v2.healthproximate.com/api/v1/search/"

payload = {
    "query": "<string>",
    "vocabularies": ["<string>"],
    "domain_id": "<string>",
    "top_k": 10,
    "find_relationship": False,
    "relationship_filters": {},
    "search_type": "websearch",
    "language": "english",
    "use_search_rank": True,
    "rank_normalization": 0,
    "min_relevance": -2,
    "include_bridges": False,
    "filter_to_input_vocab": True
}
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: '<string>',
    vocabularies: ['<string>'],
    domain_id: '<string>',
    top_k: 10,
    find_relationship: false,
    relationship_filters: {},
    search_type: 'websearch',
    language: 'english',
    use_search_rank: true,
    rank_normalization: 0,
    min_relevance: -2,
    include_bridges: false,
    filter_to_input_vocab: true
  })
};

fetch('https://api.v2.healthproximate.com/api/v1/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.v2.healthproximate.com/api/v1/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 => json_encode([
    'query' => '<string>',
    'vocabularies' => [
        '<string>'
    ],
    'domain_id' => '<string>',
    'top_k' => 10,
    'find_relationship' => false,
    'relationship_filters' => [
        
    ],
    'search_type' => 'websearch',
    'language' => 'english',
    'use_search_rank' => true,
    'rank_normalization' => 0,
    'min_relevance' => -2,
    'include_bridges' => false,
    'filter_to_input_vocab' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($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.v2.healthproximate.com/api/v1/search/"

	payload := strings.NewReader("{\n  \"query\": \"<string>\",\n  \"vocabularies\": [\n    \"<string>\"\n  ],\n  \"domain_id\": \"<string>\",\n  \"top_k\": 10,\n  \"find_relationship\": false,\n  \"relationship_filters\": {},\n  \"search_type\": \"websearch\",\n  \"language\": \"english\",\n  \"use_search_rank\": true,\n  \"rank_normalization\": 0,\n  \"min_relevance\": -2,\n  \"include_bridges\": false,\n  \"filter_to_input_vocab\": true\n}")

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

	req.Header.Add("X-API-Key", "<api-key>")
	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.v2.healthproximate.com/api/v1/search/")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"<string>\",\n  \"vocabularies\": [\n    \"<string>\"\n  ],\n  \"domain_id\": \"<string>\",\n  \"top_k\": 10,\n  \"find_relationship\": false,\n  \"relationship_filters\": {},\n  \"search_type\": \"websearch\",\n  \"language\": \"english\",\n  \"use_search_rank\": true,\n  \"rank_normalization\": 0,\n  \"min_relevance\": -2,\n  \"include_bridges\": false,\n  \"filter_to_input_vocab\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.v2.healthproximate.com/api/v1/search/")

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

request = Net::HTTP::Post.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"query\": \"<string>\",\n  \"vocabularies\": [\n    \"<string>\"\n  ],\n  \"domain_id\": \"<string>\",\n  \"top_k\": 10,\n  \"find_relationship\": false,\n  \"relationship_filters\": {},\n  \"search_type\": \"websearch\",\n  \"language\": \"english\",\n  \"use_search_rank\": true,\n  \"rank_normalization\": 0,\n  \"min_relevance\": -2,\n  \"include_bridges\": false,\n  \"filter_to_input_vocab\": true\n}"

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

{
  "results": [
    {
      "concept_id": 123,
      "concept_name": "<string>",
      "concept_code": "<string>",
      "vocabulary_id": "<string>",
      "concept_class_id": "<string>",
      "similarity": 123,
      "graph_score": 123,
      "combined_score": 123,
      "score": 123,
      "is_bridge": true,
      "parents": [
        {
          "parent_concept_id": 123,
          "parent_concept_code": "<string>",
          "parent_concept_name": "<string>"
        }
      ]
    }
  ],
  "metadata": {
    "query": "<string>",
    "vocabularies_searched": [
      "<string>"
    ],
    "domain_id": "<string>",
    "total_results": 123,
    "find_relationship": true,
    "search_mode": "hybrid",
    "requested_search_mode": "hybrid",
    "profile": "<string>",
    "include_bridges": true,
    "filter_to_input_vocab": true,
    "fts_options": {
      "search_type": "<string>",
      "language": "<string>",
      "use_search_rank": true,
      "rank_normalization": 123
    },
    "fallback_reason": "<string>"
  }
}