MyScaleSettings

class langchain_community.vectorstores.myscale.MyScaleSettings

Bases: BaseSettings

MyScale client configuration.

Attribute:

myscale_host (str)An URL to connect to MyScale backend.

Defaults to ‘localhost’.

myscale_port (int) : URL port to connect with HTTP. Defaults to 8443. username (str) : Username to login. Defaults to None. password (str) : Password to login. Defaults to None. index_type (str): index type string. index_param (dict): index build parameter. database (str) : Database name to find the table. Defaults to ‘default’. table (str) : Table name to operate on.

Defaults to ‘vector_table’.

metric (str)Metric to compute distance,

supported are (‘L2’, ‘Cosine’, ‘IP’). Defaults to ‘Cosine’.

column_map (Dict)Column type map to project column name onto langchain

semantics. Must have keys: text, id, vector, must be same size to number of columns. For example: .. code-block:: python

{

‘id’: ‘text_id’, ‘vector’: ‘text_embedding’, ‘text’: ‘text_plain’, ‘metadata’: ‘metadata_dictionary_in_json’,

}

Defaults to identity map.

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 column_map: Dict[str, str] = {'id': 'id', 'metadata': 'metadata', 'text': 'text', 'vector': 'vector'}

param database: str = 'default'

param host: str = 'localhost'

param index_param: Dict[str, str] | None = None

param index_type: str = 'MSTG'

param metric: str = 'Cosine'

param password: str | None = None

param port: int = 8443

param table: str = 'langchain'

param username: str | None = None