Search Endpoint

Search documents

POST /api/search Perform semantic search across indexed documents.

Request

{
  "query": "machine learning basics",
  "limit": 10,
  "filters": {
    "type": "pdf"
  }
}

Parameters

string

required

Search query

number

default:10

Maximum number of results to return

object

Optional filters for document type, date range, etc.

Response

{
  "results": [
    {
      "id": "doc1",
      "content": "Machine learning is...",
      "score": 0.92,
      "metadata": {
        "filename": "ml-guide.pdf",
        "type": "pdf"
      }
    }
  ],
  "total": 42
}

Example

curl -X POST http://localhost:8000/api/search \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "query": "machine learning",
    "limit": 10
  }'

const response = await fetch('http://localhost:8000/api/search', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_TOKEN'
  },
  body: JSON.stringify({
    query: 'machine learning',
    limit: 10
  })
})

const data = await response.json()
console.log(data.results)

import requests

response = requests.post(
    'http://localhost:8000/api/search',
    headers={'Authorization': 'Bearer YOUR_TOKEN'},
    json={
        'query': 'machine learning',
        'limit': 10
    }
)

print(response.json()['results'])

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Search documents

Request

Parameters

Response

Example

​Search documents

​Request

​Parameters

​Response

​Example

Search documents

Request

Parameters

Response

Example