CollectionConfig#
- class langchain_community.vectorstores.zep.CollectionConfig(name: str, description: str | None, metadata: Dict[str, Any] | None, embedding_dimensions: int, is_auto_embedded: bool)[source]#
Configuration for a Zep Collection.
If the collection does not exist, it will be created.
- Parameters:
name (str)
description (str | None)
metadata (Dict[str, Any] | None)
embedding_dimensions (int)
is_auto_embedded (bool)
- name#
The name of the collection.
- Type:
str
- description#
An optional description of the collection.
- Type:
Optional[str]
- metadata#
Optional metadata for the collection.
- Type:
Optional[Dict[str, Any]]
- embedding_dimensions#
The number of dimensions for the embeddings in the collection. This should match the Zep server configuration if auto-embed is true.
- Type:
int
- is_auto_embedded#
A flag indicating whether the collection is automatically embedded by Zep.
- Type:
bool
Attributes
Methods
__init__(name, description, metadata, ...)- __init__(name: str, description: str | None, metadata: Dict[str, Any] | None, embedding_dimensions: int, is_auto_embedded: bool) None#
- Parameters:
name (str)
description (str | None)
metadata (Dict[str, Any] | None)
embedding_dimensions (int)
is_auto_embedded (bool)
- Return type:
None
Examples using CollectionConfig