langchain_community.vectorstores.redis.schema
.RedisModel¶
- class langchain_community.vectorstores.redis.schema.RedisModel[source]¶
Bases:
BaseModel
Schema for Redis index.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- param content_key: str = 'content'¶
- param content_vector_key: str = 'content_vector'¶
- param extra: Optional[List[langchain_community.vectorstores.redis.schema.RedisField]] = None¶
- param numeric: Optional[List[langchain_community.vectorstores.redis.schema.NumericFieldSchema]] = None¶
- param tag: Optional[List[langchain_community.vectorstores.redis.schema.TagFieldSchema]] = None¶
- param text: List[langchain_community.vectorstores.redis.schema.TextFieldSchema] = [TextFieldSchema(name='content', weight=1, no_stem=False, phonetic_matcher=None, withsuffixtrie=False, no_index=False, sortable=False)]¶
- param vector: Optional[List[Union[langchain_community.vectorstores.redis.schema.FlatVectorField, langchain_community.vectorstores.redis.schema.HNSWVectorField]]] = None¶
- classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) Model ¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) Model ¶
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model
- Returns
new model instance
- dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny ¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- classmethod from_orm(obj: Any) Model ¶
- get_fields() List[RedisField] [source]¶
- json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) unicode ¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
- classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- classmethod parse_obj(obj: Any) Model ¶
- classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAny ¶
- classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicode ¶
- classmethod update_forward_refs(**localns: Any) None ¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- classmethod validate(value: Any) Model ¶
- property content_vector: Union[langchain_community.vectorstores.redis.schema.FlatVectorField, langchain_community.vectorstores.redis.schema.HNSWVectorField]¶
- property is_empty: bool¶
- property metadata_keys: List[str]¶
- property vector_dtype: numpy.dtype¶