AstraDBStore#

class langchain_community.storage.astradb.AstraDBStore(collection_name: str, token: str | None = None, api_endpoint: str | None = None, astra_db_client: AstraDB | None = None, namespace: str | None = None, *, async_astra_db_client: AsyncAstraDB | None = None, pre_delete_collection: bool = False, setup_mode: SetupMode = SetupMode.SYNC)[source]#

Deprecated since version 0.0.22: Use langchain_astradb.AstraDBStore instead.

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>
}
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)

Async delete the given keys and their associated values.

amget(keys)

Async get the values associated with the given keys.

amset(key_value_pairs)

Async set the values for the given keys.

ayield_keys(*[, prefix])

Async 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: str | None = None, api_endpoint: str | None = None, astra_db_client: AstraDB | None = None, namespace: str | None = None, *, async_astra_db_client: AsyncAstraDB | None = 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

{
  "_id": "<key>",
  "value": <value>
}
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#

Async 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[V | None]#

Async 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[V | None]

async amset(key_value_pairs: Sequence[Tuple[str, V]]) → None#

Async 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: str | None = None) → AsyncIterator[str]#

Async get an iterator over keys that match the given prefix.

Parameters:

prefix (str) – The prefix to match.

Yields:

Iterator[K | str] – 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:

AsyncIterator[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[V | None]#

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[V | None]

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: str | None = None) → Iterator[str]#

Get an iterator over keys that match the given prefix.

Parameters:

prefix (str) – The prefix to match.

Yields:

Iterator[K | str] – 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[str]

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