dicee.scripts.index_serve
=========================

.. py:module:: dicee.scripts.index_serve

.. autoapi-nested-parse::

   $ docker pull qdrant/qdrant && docker run -p 6333:6333 -p 6334:6334      -v $(pwd)/qdrant_storage:/qdrant/storage:z      qdrant/qdrant
   $ dicee_vector_db --index --serve --path CountryEmbeddings --collection "countries_vdb"



Attributes
----------

.. autoapisummary::

   dicee.scripts.index_serve.app
   dicee.scripts.index_serve.neural_searcher


Classes
-------

.. autoapisummary::

   dicee.scripts.index_serve.NeuralSearcher
   dicee.scripts.index_serve.StringListRequest


Functions
---------

.. autoapisummary::

   dicee.scripts.index_serve.get_default_arguments
   dicee.scripts.index_serve.index
   dicee.scripts.index_serve.root
   dicee.scripts.index_serve.search_embeddings
   dicee.scripts.index_serve.retrieve_embeddings
   dicee.scripts.index_serve.search_embeddings_batch
   dicee.scripts.index_serve.serve
   dicee.scripts.index_serve.main


Module Contents
---------------

.. py:function:: get_default_arguments()

.. py:function:: index(args)

.. py:data:: app

.. py:data:: neural_searcher
   :value: None


.. py:class:: NeuralSearcher(args)

   .. py:attribute:: collection_name


   .. py:attribute:: entity_to_idx
      :value: None



   .. py:attribute:: qdrant_client


   .. py:attribute:: topk
      :value: 5



   .. py:method:: retrieve_embedding(entity: str = None, entities: List[str] = None) -> List


   .. py:method:: search(entity: str)


.. py:function:: root()
   :async:


.. py:function:: search_embeddings(q: str)
   :async:


.. py:function:: retrieve_embeddings(q: str)
   :async:


.. py:class:: StringListRequest

   Bases: :py:obj:`pydantic.BaseModel`


   .. py:attribute:: queries
      :type:  List[str]


   .. py:attribute:: reducer
      :type:  Optional[str]
      :value: None



.. py:function:: search_embeddings_batch(request: StringListRequest)
   :async:


.. py:function:: serve(args)

.. py:function:: main()