agent_scope = bucket.scope("tenant_agent_00")
users_collection = agent_scope.collection("users")
document = {"name" => "John Doe", "preferred_email" => "johndoe111@test123.test"}

result = users_collection.upsert("user-key", document)

options = Cluster::QueryOptions.new
options.named_parameters({"country" => "France"})
result = cluster.query(
    'SELECT COUNT(*) AS airport_count FROM `travel-sample` WHERE type = "airport" AND country = $country',
    options)
puts "Airports in France: #{result.rows.first["airport_count"]}"
#=> Airports in France: 221

request = SearchRequest.new(
  VectorSearch.new(
    [
      VectorQuery.new('vector_field', vector_query) do |q|
        q.num_candidates = 2
        q.boost = 0.3
      end,
      VectorQuery.new('vector_field', another_vector_query) do |q|
        q.num_candidates = 5
        q.boost = 0.7
      end,
    ],
    Options::VectorSearch.new(vector_query_combination: :and)
  )
)
result = scope.search('vector-index', request)

result.rows.each do |row|
  puts "Document ID: #{row.id}, search score: #{row.score}"
end