langchain_community.vectorstores.redis.schema.HNSWVectorField¶
class langchain_community.vectorstores.redis.schema.HNSWVectorField[source]¶
Bases: RedisVectorField
Schema for HNSW vector fields in Redis.
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 algorithm: Literal['HNSW'] = 'HNSW'¶
param datatype: str = 'FLOAT32'¶
param dims: int [Required]¶
param distance_metric: langchain_community.vectorstores.redis.schema.RedisDistanceMetric = 'COSINE'¶
param ef_construction: int = 200¶
param ef_runtime: int = 10¶
param epsilon: float = 0.01¶
param initial_cap: Optional[int] = None¶
param m: int = 16¶
param name: str [Required]¶
as_field() → VectorField[source]¶
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