Vector Similarity Search for Multiple Tables

curl -u shiva:shiva -XGET 'localhost:8902/hippo/v1/{patterns}/_multi_search?pretty' -H 'Content-Type: application/json' -d'{
  "output_fields": ["book_id"],
  "search_params": {
    "anns_field": "book_intro",
    "topk": 2,
    "params": {
      "nprobe": 10
    },
    "embedding_index": "ivf_flat_index"
  },
  "vectors": [ [0.1,0.2], [0.3, 0.4] ],
  "round_decimal": 2,
  "only_explain" : false
}';

{
  "num_queries" : 2,
  "top_k" : 3,
  "results" : [
    {
      "query" : 0,
      "fields_data" : [
        {
          "field_name" : "book_id",
          "field_values" : [
            1,
            1,
            1
          ]
        }
      ],
      "scores" : [
        1.45,
        1.45,
        1.45
      ],
      "tables" : [
        "default#table2@3159b79a0ab24f1bb252352a7649f498",
        "default#table1@f761f841222f4b26ac8da6aad4a99878",
        "default#table3@5424849810174b55b6b8706e3ffba17c"
      ]
    },
    {
      "query" : 1,
      "fields_data" : [
        {
          "field_name" : "book_id",
          "field_values" : [
            1,
            1,
            1
          ]
        }
      ],
      "scores" : [
        0.85,
        0.85,
        0.85
      ],
      "tables" : [
        "default#table2@3159b79a0ab24f1bb252352a7649f498",
        "default#table1@f761f841222f4b26ac8da6aad4a99878",
        "default#table3@5424849810174b55b6b8706e3ffba17c"
      ]
    }
  ]
}