Search a namespace

import { Agentset } from "agentset";

const agentset = new Agentset({ apiKey: 'agentset_xxx' });
const ns = agentset.namespace('ns_xxx');

const results = await ns.search("What is machine learning?", {
  topK: 20,
  rerank: true,
  rerankLimit: 10,
});
console.log(results);

from agentset import Agentset


with Agentset(
    namespace_id="ns_123",
    x_tenant_id="<id>",
    token="AGENTSET_API_KEY",
) as a_client:

    res = a_client.search.execute(query="<value>", top_k=10, rerank=True, rerank_model="zeroentropy:zerank-2", include_relationships=False, include_metadata=True, mode="semantic")

    # Handle response
    print(res)

curl --request POST \
  --url https://api.agentset.ai/v1/namespace/{namespaceId}/search \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "<string>",
  "topK": 10,
  "rerank": true,
  "rerankLimit": 50.5,
  "rerankModel": "zeroentropy:zerank-2",
  "filter": {},
  "minScore": 0.5,
  "includeRelationships": false,
  "includeMetadata": true,
  "keywordFilter": "<string>",
  "mode": "semantic"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    query: '<string>',
    topK: 10,
    rerank: true,
    rerankLimit: 50.5,
    rerankModel: 'zeroentropy:zerank-2',
    filter: {},
    minScore: 0.5,
    includeRelationships: false,
    includeMetadata: true,
    keywordFilter: '<string>',
    mode: 'semantic'
  })
};

fetch('https://api.agentset.ai/v1/namespace/{namespaceId}/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.agentset.ai/v1/namespace/{namespaceId}/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>',
    'topK' => 10,
    'rerank' => true,
    'rerankLimit' => 50.5,
    'rerankModel' => 'zeroentropy:zerank-2',
    'filter' => [
        
    ],
    'minScore' => 0.5,
    'includeRelationships' => false,
    'includeMetadata' => true,
    'keywordFilter' => '<string>',
    'mode' => 'semantic'
  ]),
  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.agentset.ai/v1/namespace/{namespaceId}/search"

	payload := strings.NewReader("{\n  \"query\": \"<string>\",\n  \"topK\": 10,\n  \"rerank\": true,\n  \"rerankLimit\": 50.5,\n  \"rerankModel\": \"zeroentropy:zerank-2\",\n  \"filter\": {},\n  \"minScore\": 0.5,\n  \"includeRelationships\": false,\n  \"includeMetadata\": true,\n  \"keywordFilter\": \"<string>\",\n  \"mode\": \"semantic\"\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.agentset.ai/v1/namespace/{namespaceId}/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"query\": \"<string>\",\n  \"topK\": 10,\n  \"rerank\": true,\n  \"rerankLimit\": 50.5,\n  \"rerankModel\": \"zeroentropy:zerank-2\",\n  \"filter\": {},\n  \"minScore\": 0.5,\n  \"includeRelationships\": false,\n  \"includeMetadata\": true,\n  \"keywordFilter\": \"<string>\",\n  \"mode\": \"semantic\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.agentset.ai/v1/namespace/{namespaceId}/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  \"topK\": 10,\n  \"rerank\": true,\n  \"rerankLimit\": 50.5,\n  \"rerankModel\": \"zeroentropy:zerank-2\",\n  \"filter\": {},\n  \"minScore\": 0.5,\n  \"includeRelationships\": false,\n  \"includeMetadata\": true,\n  \"keywordFilter\": \"<string>\",\n  \"mode\": \"semantic\"\n}"

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

{
  "success": true,
  "data": [
    {
      "id": "<string>",
      "score": 0.5,
      "text": "<string>",
      "relationships": {},
      "metadata": {}
    }
  ]
}

{
  "success": false,
  "error": {
    "code": "bad_request",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#bad-request"
  }
}

{
  "success": false,
  "error": {
    "code": "unauthorized",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unauthorized"
  }
}

{
  "success": false,
  "error": {
    "code": "forbidden",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#forbidden"
  }
}

{
  "success": false,
  "error": {
    "code": "not_found",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#not-found"
  }
}

{
  "success": false,
  "error": {
    "code": "conflict",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#conflict"
  }
}

{
  "success": false,
  "error": {
    "code": "invite_expired",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#invite-expired"
  }
}

{
  "success": false,
  "error": {
    "code": "unprocessable_entity",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#unprocessable-entity"
  }
}

{
  "success": false,
  "error": {
    "code": "rate_limit_exceeded",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#rate-limit_exceeded"
  }
}

{
  "success": false,
  "error": {
    "code": "internal_server_error",
    "message": "The requested resource was not found.",
    "doc_url": "https://docs.agentset.ai/api-reference/errors#internal-server_error"
  }
}