Method●Since v0.1

from_texts

Create a Milvus collection, indexes it with HNSW, and insert data.

from_texts(
  cls,
  texts: List[str],
  embedding: Optional[Union[EmbeddingType, List[EmbeddingType]]],
  metadatas: Optional[List[dict]] = None,
  collection_name: str = 'LangChainCollection',
  connection_args: Optional[Dict[str, Any]] = None,
  consistency_level: str = 'Session',
  index_params: Optional[Union[dict, List[dict]]] = None,
  search_params: Optional[Union[dict, List[dict]]] = None,
  drop_old: bool = False,
  *,
  ids: Optional[List[str]] = None,
  auto_id: bool = False,
  builtin_function: Optional[Union[BaseMilvusBuiltInFunction, List[BaseMilvusBuiltInFunction]]] = None,
  **kwargs: Any = {}
) -> Milvus

Returns: Milvus: Milvus Vector Store

Parameters

Name	Type	Description
`texts`*	`List[str]`	Text data.
`embedding`*	`Optional[Union[EmbeddingType, List[EmbeddingType]]]`	Embedding function.
`metadatas`	`Optional[List[dict]]`	Default:`None` Metadata for each text if it exists.
`collection_name`	`str`	Default:`'LangChainCollection'` Collection name to use.
`connection_args`	`Optional[Dict[str, Any]]`	Default:`None` Connection args to use. Defaults to `DEFAULT_MILVUS_CONNECTION`.
`consistency_level`	`str`	Default:`'Session'` Which consistency level to use.
`index_params`	`Optional[Union[dict, List[dict]]]`	Default:`None` Which `index_params` to use.
`search_params`	`Optional[Union[dict, List[dict]]]`	Default:`None` Which search params to use.
`drop_old`	`bool`	Default:`False` Whether to drop the collection with that name if it exists.
`ids`	`Optional[List[str]]`	Default:`None` List of text ids.
`auto_id`	`bool`	Default:`False` Whether to enable auto id for primary key. If `False`, you need to provide text ids (string less than `65535` bytes). If `True`, Milvus will generate unique integers as primary keys.
`builtin_function`	`Optional[Union[BaseMilvusBuiltInFunction, List[BaseMilvusBuiltInFunction]]]`	Default:`None` Built-in function to use.
`**kwargs`	`Any`	Default:`{}` Other parameters in Milvus Collection.

View source on GitHub

from_texts( cls, texts: List[str], embedding: Optional[Union[EmbeddingType, List[EmbeddingType]]], metadatas: Optional[List[dict]] = None, collection_name: str = 'LangChainCollection', connection_args: Optional[Dict[str, Any]] = None, consistency_level: str = 'Session', index_params: Optional[Union[dict, List[dict]]] = None, search_params: Optional[Union[dict, List[dict]]] = None, drop_old: bool = False, *, ids: Optional[List[str]] = None, auto_id: bool = False, builtin_function: Optional[Union[BaseMilvusBuiltInFunction, List[BaseMilvusBuiltInFunction]]] = None, **kwargs: Any = {} ) -> Milvus

Parameters

Name	Type	Description
`texts`*	`List[str]`	Text data.
`embedding`*	`Optional[Union[EmbeddingType, List[EmbeddingType]]]`	Embedding function.
`metadatas`	`Optional[List[dict]]`	Default:`None` Metadata for each text if it exists.
`collection_name`	`str`	Default:`'LangChainCollection'` Collection name to use.
`connection_args`	`Optional[Dict[str, Any]]`	Default:`None` Connection args to use. Defaults to `DEFAULT_MILVUS_CONNECTION`.
`consistency_level`	`str`	Default:`'Session'` Which consistency level to use.
`index_params`	`Optional[Union[dict, List[dict]]]`	Default:`None` Which `index_params` to use.
`search_params`	`Optional[Union[dict, List[dict]]]`	Default:`None` Which search params to use.
`drop_old`	`bool`	Default:`False` Whether to drop the collection with that name if it exists.
`ids`	`Optional[List[str]]`	Default:`None` List of text ids.
`auto_id`	`bool`	Default:`False` Whether to enable auto id for primary key. If `False`, you need to provide text ids (string less than `65535` bytes). If `True`, Milvus will generate unique integers as primary keys.
`builtin_function`	`Optional[Union[BaseMilvusBuiltInFunction, List[BaseMilvusBuiltInFunction]]]`	Default:`None` Built-in function to use.
`**kwargs`	`Any`	Default:`{}` Other parameters in Milvus Collection.

from_texts

Parameters

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from_texts

Parameters