autogen.agentchat.contrib.vectordb.pgvectordb.Collection

​

Collection

Collection(**kwargs)

A Collection object for PGVector.
Attributes:
client: The PGVector client.
collection_name (str): The name of the collection. Default is “documents”.
embedding_function (Callable): The embedding function used to generate the vector representation.
Default is None. SentenceTransformer(“all-MiniLM-L6-v2”).encode will be used when None.
Models can be chosen from:
https://huggingface.co/models?library=sentence-transformers metadata (Optional[dict[str, Any]]): The metadata of the collection.
get_or_create (Optional): The flag indicating whether to get or create the collection.
Initialize the Collection object.

​

Instance Methods

​

add

add(*args, **kwargs) -> 

Call self as a function.

​

convert_string_to_array

convert_string_to_array(*args, **kwargs) -> 

Call self as a function.

​

cosine_distance

cosine_distance(*args, **kwargs) -> 

Call self as a function.

​

count

count(*args, **kwargs) -> 

Call self as a function.

​

create_collection

create_collection(*args, **kwargs) -> 

Call self as a function.

​

delete

delete(*args, **kwargs) -> 

Call self as a function.

​

delete_collection

delete_collection(*args, **kwargs) -> 

Call self as a function.

​

euclidean_distance

euclidean_distance(*args, **kwargs) -> 

Call self as a function.

​

get

get(*args, **kwargs) -> 

Call self as a function.

​

inner_product_distance

inner_product_distance(*args, **kwargs) -> 

Call self as a function.

​

modify

modify(*args, **kwargs) -> 

Call self as a function.

​

query

query(*args, **kwargs) -> 

Call self as a function.

​

set_collection_name

set_collection_name(*args, **kwargs) -> 

Call self as a function.

​

table_exists

table_exists(*args, **kwargs) -> 

Call self as a function.

​

update

update(*args, **kwargs) -> 

Call self as a function.

​

upsert

upsert(*args, **kwargs) -> 

Call self as a function.