langchain_astradb.storage.AstraDBStore¶
- class langchain_astradb.storage.AstraDBStore(collection_name: str, *, token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[AstraDB] = None, namespace: Optional[str] = None, async_astra_db_client: Optional[AsyncAstraDB] = None, pre_delete_collection: bool = False, setup_mode: SetupMode = SetupMode.SYNC)[source]¶
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
- Parameters
collection_name (str) – name of the Astra DB collection to create/use.
token (Optional[str]) – API token for Astra DB usage.
api_endpoint (Optional[str]) – full URL to the API endpoint, such as https://<DB-ID>-us-east1.apps.astra.datastax.com.
astra_db_client (Optional[AstraDB]) – alternative to token+api_endpoint, you can pass an already-created ‘astrapy.db.AstraDB’ instance.
async_astra_db_client (Optional[AsyncAstraDB]) – alternative to token+api_endpoint, you can pass an already-created ‘astrapy.db.AsyncAstraDB’ instance.
namespace (Optional[str]) – namespace (aka keyspace) where the collection is created. Defaults to the database’s “default namespace”.
setup_mode (SetupMode) – mode used to create the Astra DB collection (SYNC, ASYNC or OFF).
pre_delete_collection (bool) – whether to delete the collection before creating it. If False and the collection already exists, the collection will be used as is.
Methods
__init__(collection_name, *[, token, ...])BaseStore implementation using DataStax AstraDB as the underlying store.
amdelete(keys)Delete the given keys and their associated values.
amget(keys)Get the values associated with the given keys.
amset(key_value_pairs)Set the values for the given keys.
ayield_keys(*[, prefix])Get an iterator over keys that match the given prefix.
decode_value(value)Decodes value from Astra DB
encode_value(value)Encodes value for Astra DB
mdelete(keys)Delete the given keys and their associated values.
mget(keys)Get the values associated with the given keys.
mset(key_value_pairs)Set the values for the given keys.
yield_keys(*[, prefix])Get an iterator over keys that match the given prefix.
- __init__(collection_name: str, *, token: Optional[str] = None, api_endpoint: Optional[str] = None, astra_db_client: Optional[AstraDB] = None, namespace: Optional[str] = None, async_astra_db_client: Optional[AsyncAstraDB] = None, pre_delete_collection: bool = False, setup_mode: SetupMode = SetupMode.SYNC) None[source]¶
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
- Parameters
collection_name (str) – name of the Astra DB collection to create/use.
token (Optional[str]) – API token for Astra DB usage.
api_endpoint (Optional[str]) – full URL to the API endpoint, such as https://<DB-ID>-us-east1.apps.astra.datastax.com.
astra_db_client (Optional[AstraDB]) – alternative to token+api_endpoint, you can pass an already-created ‘astrapy.db.AstraDB’ instance.
async_astra_db_client (Optional[AsyncAstraDB]) – alternative to token+api_endpoint, you can pass an already-created ‘astrapy.db.AsyncAstraDB’ instance.
namespace (Optional[str]) – namespace (aka keyspace) where the collection is created. Defaults to the database’s “default namespace”.
setup_mode (SetupMode) – mode used to create the Astra DB collection (SYNC, ASYNC or OFF).
pre_delete_collection (bool) – whether to delete the collection before creating it. If False and the collection already exists, the collection will be used as is.
- Return type
None
- async amdelete(keys: Sequence[str]) None¶
Delete the given keys and their associated values.
- Parameters
keys (Sequence[K]) – A sequence of keys to delete.
- Return type
None
- async amget(keys: Sequence[str]) List[Optional[V]]¶
Get the values associated with the given keys.
- Parameters
keys (Sequence[K]) – A sequence of keys.
- Returns
A sequence of optional values associated with the keys. If a key is not found, the corresponding value will be None.
- Return type
List[Optional[V]]
- async amset(key_value_pairs: Sequence[Tuple[str, V]]) None¶
Set the values for the given keys.
- Parameters
key_value_pairs (Sequence[Tuple[K, V]]) – A sequence of key-value pairs.
- Return type
None
- async ayield_keys(*, prefix: Optional[str] = None) AsyncIterator[str]¶
Get an iterator over keys that match the given prefix.
- Parameters
prefix (str) – The prefix to match.
- Returns
An iterator over keys that match the given prefix.
This method is allowed to return an iterator over either K or str depending on what makes more sense for the given store.
- Return type
Iterator[K | str]
- decode_value(value: Any) Any[source]¶
Decodes value from Astra DB
- Parameters
value (Any) –
- Return type
Any
- encode_value(value: Any) Any[source]¶
Encodes value for Astra DB
- Parameters
value (Any) –
- Return type
Any
- mdelete(keys: Sequence[str]) None¶
Delete the given keys and their associated values.
- Parameters
keys (Sequence[K]) – A sequence of keys to delete.
- Return type
None
- mget(keys: Sequence[str]) List[Optional[V]]¶
Get the values associated with the given keys.
- Parameters
keys (Sequence[K]) – A sequence of keys.
- Returns
A sequence of optional values associated with the keys. If a key is not found, the corresponding value will be None.
- Return type
List[Optional[V]]
- mset(key_value_pairs: Sequence[Tuple[str, V]]) None¶
Set the values for the given keys.
- Parameters
key_value_pairs (Sequence[Tuple[K, V]]) – A sequence of key-value pairs.
- Return type
None
- yield_keys(*, prefix: Optional[str] = None) Iterator[str]¶
Get an iterator over keys that match the given prefix.
- Parameters
prefix (str) – The prefix to match.
- Returns
An iterator over keys that match the given prefix.
This method is allowed to return an iterator over either K or str depending on what makes more sense for the given store.
- Return type
Iterator[K | str]