langchain_community.storage.astradb.AstraDBStore

class langchain_community.storage.astradb.AstraDBStore(collection_name: str, token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[Any] = None, namespace: Optional[str] = None)

BaseStore implementation using DataStax AstraDB as the underlying store. The value type can be any type serializable by json.dumps. Can be used to store embeddings with the CacheBackedEmbeddings. Documents in the AstraDB collection will have the format {

“_id”: “<key>”, “value”: <value>

}

Methods

__init__(collection_name[, token, ...])
decode_value(value)	Decodes value from Astra DB
encode_value(value)	Encodes value for Astra DB
mdelete(keys)	Delete the given keys.
mget(keys)	Get the values associated with the given keys.
mset(key_value_pairs)	Set the given key-value pairs.
yield_keys(*[, prefix])	Yield keys in the store.

__init__(collection_name: str, token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[Any] = None, namespace: Optional[str] = None) → None

decode_value(value: Any) → Any

Decodes value from Astra DB

encode_value(value: Any) → Any

Encodes value for Astra DB

mdelete(keys: Sequence[str]) → None

Delete the given keys.

mget(keys: Sequence[str]) → List[Optional[V]]

Get the values associated with the given keys.

mset(key_value_pairs: Sequence[Tuple[str, V]]) → None

Set the given key-value pairs.

yield_keys(*, prefix: Optional[str] = None) → Iterator[str]

Yield keys in the store.