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(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` !!! abstract "Usage Documentation" [Models](../concepts/models.md) A base class for creating Pydantic models. .. attribute:: __class_vars__ The names of the class variables defined on the model. .. attribute:: __private_attributes__ Metadata about the private attributes of the model. .. attribute:: __signature__ The synthesized `__init__` [`Signature`][inspect.Signature] of the model. .. attribute:: __pydantic_complete__ Whether model building is completed, or if there are still undefined fields. .. attribute:: __pydantic_core_schema__ The core schema of the model. .. attribute:: __pydantic_custom_init__ Whether the model has a custom `__init__` function. .. attribute:: __pydantic_decorators__ Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. .. attribute:: __pydantic_generic_metadata__ Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. .. attribute:: __pydantic_parent_namespace__ Parent namespace of the model, used for automatic rebuilding of models. .. attribute:: __pydantic_post_init__ The name of the post-init method for the model, if defined. .. attribute:: __pydantic_root_model__ Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. .. attribute:: __pydantic_serializer__ The `pydantic-core` `SchemaSerializer` used to dump instances of the model. .. attribute:: __pydantic_validator__ The `pydantic-core` `SchemaValidator` used to validate instances of the model. .. attribute:: __pydantic_fields__ A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. .. attribute:: __pydantic_computed_fields__ A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. .. attribute:: __pydantic_extra__ A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. .. attribute:: __pydantic_fields_set__ The names of fields explicitly set during instantiation. .. attribute:: __pydantic_private__ Values of private attributes set on the model instance. .. 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()