curl --request POST \
  --url https://api.memories.ai/datalake/v1/search \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "collection_id": "col_xxx",
  "query": "a woman talking to the camera",
  "mode": "semantic",
  "targets": [
    "caption"
  ],
  "top_k": 20
}
'

import requests

url = "https://api.memories.ai/datalake/v1/search"

payload = {
    "collection_id": "col_xxx",
    "query": "a woman talking to the camera",
    "mode": "semantic",
    "targets": ["caption"],
    "top_k": 20
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    collection_id: 'col_xxx',
    query: 'a woman talking to the camera',
    mode: 'semantic',
    targets: ['caption'],
    top_k: 20
  })
};

fetch('https://api.memories.ai/datalake/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.memories.ai/datalake/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([
    'collection_id' => 'col_xxx',
    'query' => 'a woman talking to the camera',
    'mode' => 'semantic',
    'targets' => [
        'caption'
    ],
    'top_k' => 20
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "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.memories.ai/datalake/v1/search"

	payload := strings.NewReader("{\n  \"collection_id\": \"col_xxx\",\n  \"query\": \"a woman talking to the camera\",\n  \"mode\": \"semantic\",\n  \"targets\": [\n    \"caption\"\n  ],\n  \"top_k\": 20\n}")

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

	req.Header.Add("Authorization", "<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.memories.ai/datalake/v1/search")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"collection_id\": \"col_xxx\",\n  \"query\": \"a woman talking to the camera\",\n  \"mode\": \"semantic\",\n  \"targets\": [\n    \"caption\"\n  ],\n  \"top_k\": 20\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.memories.ai/datalake/v1/search")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"collection_id\": \"col_xxx\",\n  \"query\": \"a woman talking to the camera\",\n  \"mode\": \"semantic\",\n  \"targets\": [\n    \"caption\"\n  ],\n  \"top_k\": 20\n}"

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

{
  "results": [
    {
      "ref": "vid_xxx@25.0-32.0",
      "video_id": "vid_xxx",
      "target": "caption",
      "score": 0.61,
      "start": 25,
      "end": 32,
      "snippet": "The young woman, wearing headphones",
      "thumbnail_url": "https://storage.googleapis.com/…(15-min signed)"
    }
  ],
  "next_cursor": "PMRHC5...",
  "index_version": "idx_2026_06",
  "embedding": {
    "model": "OmniRetriever",
    "dimensions": 3072
  },
  "hint": null
}