AstraDBByteStore
This will help you get started with Astra DB key-value stores. For detailed documentation of all AstraDBByteStore
features and configurations head to the API reference.
Overview
DataStax Astra DB is a serverless vector-capable database built on Cassandra and made conveniently available through an easy-to-use JSON API.
Integration details
Class | Package | Local | JS support | Package downloads | Package latest |
---|---|---|---|---|---|
AstraDBByteStore | langchain_astradb | ❌ | ❌ |
Setup
To create an AstraDBByteStore
byte store, you'll need to create a DataStax account.
Credentials
After signing up, set the following credentials:
from getpass import getpass
ASTRA_DB_API_ENDPOINT = getpass("ASTRA_DB_API_ENDPOINT = ")
ASTRA_DB_APPLICATION_TOKEN = getpass("ASTRA_DB_APPLICATION_TOKEN = ")
Installation
The LangChain AstraDB integration lives in the langchain_astradb
package:
%pip install -qU langchain_astradb
Instantiation
Now we can instantiate our byte store:
from langchain_astradb import AstraDBByteStore
kv_store = AstraDBByteStore(
api_endpoint=ASTRA_DB_API_ENDPOINT,
token=ASTRA_DB_APPLICATION_TOKEN,
collection_name="my_store",
)
Usage
You can set data under keys like this using the mset
method:
kv_store.mset(
[
["key1", b"value1"],
["key2", b"value2"],
]
)
kv_store.mget(
[
"key1",
"key2",
]
)
[b'value1', b'value2']
And you can delete data using the mdelete
method:
kv_store.mdelete(
[
"key1",
"key2",
]
)
kv_store.mget(
[
"key1",
"key2",
]
)
[None, None]
You can use an AstraDBByteStore
anywhere you'd use other ByteStores, including as a cache for embeddings.
API reference
For detailed documentation of all AstraDBByteStore
features and configurations, head to the API reference: https://python.langchain.com/api_reference/astradb/storage/langchain_astradb.storage.AstraDBByteStore.html