curl --request POST \
  --url https://api.evermind.ai/api/v2/knowledge_bases/{kb_id}/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "<string>",
  "method": "hybrid",
  "page": 1,
  "top_k": 10,
  "score_threshold": 123,
  "include": [],
  "boost_tag_ids": [],
  "filters": {
    "category_id": "<string>",
    "tag_ids": []
  }
}
'

import requests

url = "https://api.evermind.ai/api/v2/knowledge_bases/{kb_id}/search"

payload = {
    "query": "<string>",
    "method": "hybrid",
    "page": 1,
    "top_k": 10,
    "score_threshold": 123,
    "include": [],
    "boost_tag_ids": [],
    "filters": {
        "category_id": "<string>",
        "tag_ids": []
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: '<string>',
    method: 'hybrid',
    page: 1,
    top_k: 10,
    score_threshold: 123,
    include: [],
    boost_tag_ids: [],
    filters: {category_id: '<string>', tag_ids: []}
  })
};

fetch('https://api.evermind.ai/api/v2/knowledge_bases/{kb_id}/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.evermind.ai/api/v2/knowledge_bases/{kb_id}/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>',
    'method' => 'hybrid',
    'page' => 1,
    'top_k' => 10,
    'score_threshold' => 123,
    'include' => [
        
    ],
    'boost_tag_ids' => [
        
    ],
    'filters' => [
        'category_id' => '<string>',
        'tag_ids' => [
                
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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.evermind.ai/api/v2/knowledge_bases/{kb_id}/search"

	payload := strings.NewReader("{\n  \"query\": \"<string>\",\n  \"method\": \"hybrid\",\n  \"page\": 1,\n  \"top_k\": 10,\n  \"score_threshold\": 123,\n  \"include\": [],\n  \"boost_tag_ids\": [],\n  \"filters\": {\n    \"category_id\": \"<string>\",\n    \"tag_ids\": []\n  }\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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.evermind.ai/api/v2/knowledge_bases/{kb_id}/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"<string>\",\n  \"method\": \"hybrid\",\n  \"page\": 1,\n  \"top_k\": 10,\n  \"score_threshold\": 123,\n  \"include\": [],\n  \"boost_tag_ids\": [],\n  \"filters\": {\n    \"category_id\": \"<string>\",\n    \"tag_ids\": []\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.evermind.ai/api/v2/knowledge_bases/{kb_id}/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/json'
request.body = "{\n  \"query\": \"<string>\",\n  \"method\": \"hybrid\",\n  \"page\": 1,\n  \"top_k\": 10,\n  \"score_threshold\": 123,\n  \"include\": [],\n  \"boost_tag_ids\": [],\n  \"filters\": {\n    \"category_id\": \"<string>\",\n    \"tag_ids\": []\n  }\n}"

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

{
  "request_id": "<string>",
  "data": {
    "hits": [
      {
        "object": "topic",
        "id": "<string>",
        "doc_id": "<string>",
        "kb_id": "<string>",
        "name": "<string>",
        "score": 123,
        "retrieval_method": "keyword",
        "tags": [
          {
            "id": "<string>",
            "name": "<string>"
          }
        ],
        "category_id": "",
        "category_name": "<string>",
        "depth": 0,
        "summary": "<string>",
        "content": "<string>",
        "source": "<string>",
        "document": {
          "doc_id": "<string>",
          "title": "",
          "summary": "<string>"
        },
        "updated_at": "2023-11-07T05:31:56Z"
      }
    ],
    "total": 123,
    "took_ms": 123
  }
}

{}

{}

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

{}

{}