langchain.vectorstores.zep.CollectionConfig¶
class langchain.vectorstores.zep.CollectionConfig(name: str, description: Optional[str], metadata: Optional[Dict[str, Any]], embedding_dimensions: int, is_auto_embedded: bool)[source]¶
Configuration for a Zep Collection.
If the collection does not exist, it will be created.
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
name
description
metadata
embedding_dimensions
is_auto_embedded
Methods
__init__(name, description, metadata, ...)
__init__(name: str, description: Optional[str], metadata: Optional[Dict[str, Any]], embedding_dimensions: int, is_auto_embedded: bool) → None¶
Examples using CollectionConfig¶
Zep