curl --request POST \
  --url "https://my.orq.ai/v2/knowledge/$KNOWLEDGE_ID/search" \
  --header "Authorization: Bearer $ORQ_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
    "query": "What is our refund policy?",
    "top_k": 10,
    "search_type": "hybrid_search",
    "search_options": {
      "include_vectors": false,
      "include_metadata": true,
      "include_scores": true
    }
  }'

import { Orq } from "@orq-ai/node";

const orq = new Orq({
  apiKey: process.env["ORQ_API_KEY"]
});

const result = await orq.knowledge.search({
  knowledgeId: process.env["KNOWLEDGE_ID"],
  requestBody: {
    query: "What is our refund policy?",
    topK: 10,
    searchType: "hybrid_search",
    searchOptions: {
      includeVectors: false,
      includeMetadata: true,
      includeScores: true
    }
  }
});

console.log(result.matches);

import os
from orq_ai_sdk import Orq

orq = Orq(api_key=os.getenv("ORQ_API_KEY"))

result = orq.knowledge.search(
    knowledge_id=os.getenv("KNOWLEDGE_ID"),
    query="What is our refund policy?",
    top_k=10,
    search_type="hybrid_search",
    search_options={
        "include_vectors": False,
        "include_metadata": True,
        "include_scores": True,
    },
)

print(result.matches)

{
  "matches": [
    {
      "id": "<string>",
      "text": "<string>",
      "vector": [
        123
      ],
      "metadata": {},
      "scores": {
        "rerank_score": 123,
        "search_score": 123
      }
    }
  ]
}