Vespa Ai Query Example

{
  "request": {
    "method": "POST",
    "url": "https://example.vespa-cloud.com/search/",
    "headers": {
      "Content-Type": "application/json"
    },
    "body": {
      "yql": "select * from sources * where userQuery() and nearestNeighbor(embedding, q_embedding)",
      "query": "vector databases",
      "hits": 5,
      "ranking": {
        "profile": "hybrid",
        "features": {
          "query(q_embedding)": "[0.13, 0.55, -0.21, 0.04, ...]"
        }
      },
      "timeout": "500ms"
    }
  },
  "response": {
    "root": {
      "id": "toplevel",
      "relevance": 1.0,
      "fields": {
        "totalCount": 3
      },
      "coverage": {
        "coverage": 100,
        "documents": 1024,
        "full": true,
        "nodes": 2,
        "results": 1,
        "resultsFull": 1
      },
      "children": [
        {
          "id": "id:articles:article::42",
          "relevance": 0.7821,
          "source": "articles",
          "fields": {
            "title": "An Introduction to Vector Databases",
            "summary": "Vector databases store embeddings and support nearest-neighbor search...",
            "url": "https://example.com/intro-to-vector-databases"
          }
        }
      ]
    }
  }
}