Create a knowledge base

curl --request POST \
  --url https://api.anyreach.ai/knowledge-base/datasets \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Product FAQ",
  "description": "Top customer questions about our flagship product.",
  "embedding_model": "text-embedding-3-small",
  "embedding_dimension": 1536
}
'

import requests

url = "https://api.anyreach.ai/knowledge-base/datasets"

payload = {
    "name": "Product FAQ",
    "description": "Top customer questions about our flagship product.",
    "embedding_model": "text-embedding-3-small",
    "embedding_dimension": 1536
}
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: 'Product FAQ',
    description: 'Top customer questions about our flagship product.',
    embedding_model: 'text-embedding-3-small',
    embedding_dimension: 1536
  })
};

fetch('https://api.anyreach.ai/knowledge-base/datasets', 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.anyreach.ai/knowledge-base/datasets",
  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' => 'Product FAQ',
    'description' => 'Top customer questions about our flagship product.',
    'embedding_model' => 'text-embedding-3-small',
    'embedding_dimension' => 1536
  ]),
  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.anyreach.ai/knowledge-base/datasets"

	payload := strings.NewReader("{\n  \"name\": \"Product FAQ\",\n  \"description\": \"Top customer questions about our flagship product.\",\n  \"embedding_model\": \"text-embedding-3-small\",\n  \"embedding_dimension\": 1536\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.anyreach.ai/knowledge-base/datasets")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Product FAQ\",\n  \"description\": \"Top customer questions about our flagship product.\",\n  \"embedding_model\": \"text-embedding-3-small\",\n  \"embedding_dimension\": 1536\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.anyreach.ai/knowledge-base/datasets")

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\": \"Product FAQ\",\n  \"description\": \"Top customer questions about our flagship product.\",\n  \"embedding_model\": \"text-embedding-3-small\",\n  \"embedding_dimension\": 1536\n}"

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

{
  "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "created_at": "2026-01-15T09:30:00Z",
  "updated_at": "2026-01-15T09:30:00Z",
  "created_by": "user:3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "modified_by": "user:3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "organization_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
  "name": "Example",
  "description": "string",
  "embedding_model": "text-embedding-3-small",
  "embedding_dimension": 768,
  "source_count": 1,
  "today_sources": 0,
  "daily_source_counts": [
    1
  ],
  "last_source_date": "2026-01-15"
}

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