curl -X POST https://api.60db.ai/memory/search \
  -H "Authorization: Bearer your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What are my dietary preferences?",
    "mode": "thinking",
    "max_results": 5,
    "alpha": 0.8,
    "recency_bias": 0.1
  }'

const response = await fetch('https://api.60db.ai/memory/search', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer your-api-key',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    query: "What are my dietary preferences?",
    mode: "thinking",
    max_results: 5,
    alpha: 0.8,
    recency_bias: 0.1,
  }),
});
const data = await response.json();

import requests

response = requests.post(
    "https://api.60db.ai/memory/search",
    headers={
        "Authorization": "Bearer your-api-key",
        "Content-Type": "application/json",
    },
    json={
        "query": "What are my dietary preferences?",
        "mode": "thinking",
        "max_results": 5,
        "alpha": 0.8,
        "recency_bias": 0.1,
    },
)
data = response.json()

{
  "success": true,
  "data": {
    "query": "What are my dietary preferences?",
    "chunks": [
      {
        "chunk_id": "c_01HV...",
        "source_id": "mem_01HV8K...",
        "text": "User prefers vegetarian food, lactose intolerant",
        "score": 0.912,
        "rerank_score": 0.9485,
        "metadata": { "title": "Dietary preferences" }
      }
    ],
    "sources": [
      {
        "source_id": "mem_01HV8K...",
        "title": "Dietary preferences",
        "text": "User prefers vegetarian food, lactose intolerant",
        "score": 0.912,
        "rerank_score": 0.9485
      }
    ],
    "total_chunks": 1,
    "total_sources": 1,
    "latency_ms": 287.4,
    "mode": "thinking",
    "alpha": 0.8,
    "trace": {
      "timings_ms": { "embed_ms": 112, "vector_search_ms": 52, "total_ms": 287 },
      "rerank": { "mode": "on", "ok": true, "latency_ms": 103, "top_score": 0.9485 }
    }
  }
}