client = Marqo::Client.new(endpoint, index_name)

options = {
    number_of_shards: 3,
    number_of_replicas: 0
}
client.create_index(index_name, options)

{
  "index_defaults": {
      "treat_urls_and_pointers_as_images": false,
      "model": "hf/all_datasets_v4_MiniLM-L6",
      "normalize_embeddings": true,
      "text_preprocessing": {
          "split_length": 2,
          "split_overlap": 0,
          "split_method": "sentence"
      },
      "image_preprocessing": {
          "patch_method": null
      },
      "ann_parameters" : {
          "space_type": "cosinesimil",
          "parameters": {
              "ef_construction": 128,
              "m": 16
          }
      }
  },
  "number_of_shards": 3,
  "number_of_replicas": 0
}

client.list

client.delete_index

documents = [
    {
      title: 'The Travels of Marco Polo',
      desc: 'A 13th-century travelogue describing the travels of Polo',
      genre: 'History'
    },
    {
      title: 'Extravehicular Mobility Unit (EMU)',
      desc: 'The EMU is a spacesuit that provides environmental protection',
      genre: 'Science',
      _id: 'hatkeo_08'
    }
]

options = { tensor_fields: %w[title desc] }
client.add_documents(documents, options)

client.find_doc('hatkeo_08', { expose_facets: false })

client.find_doc(['hatkeo_08', 'another_ids'])

client.delete_docs(['hatkeo_08', 'another_ids'])

query = 'what is the best outfit to wear on the moon?'
default_options = {
    limit: 20,
    offset: 0,
    showHighlights: true,
    searchMethod: Marqo::Search::SEARCH_METHOD_TENSOR,
    attributesToRetrieve: ['*'],
    image_download_headers: {}
}
client.search(query, default_options)

rake check
rake test