Astra DB Serverless by DataStax provides the tools developers need to create robust AI applications, featuring strong APIs, real-time data processing, and easy integration with other systems.
from astrapy import DataAPIClient
# connect to a database
database =
DataAPIClient(TOKEN).get_database_by_api_endpoint(URL)
# Ingest vectors into your collection
collection = database.test_collection
collection.insert_many(documents=DOCUMENTS)
# Find the closest vectors
collection.find(vector=[0.15, 0.1, 0.1, 0.35, 0.55])Use the Astra DB Data Loader to load data in your database from a variety of sources, including CSV files, sample datasets, and Amazon DynamoDB.
Read Loading data into Astra DB databases arrow_forward
Improve the efficiency of your queries on AI-ready cloud databases with best practices for indexing and query tuning.
Read Optimizing Query Performance arrow_forward
Learn how to secure connections to your AI-ready cloud database using SSL encryption and access control methods.
Read Securing Database Connections arrow_forward
Set up automated backups for your cloud database and learn how to quickly recover your data in case of loss or corruption.
Read Automating Backups and Recovery arrow_forward
Monitor the health and performance of your cloud database with real-time analytics and set up alerts for potential issues.
Read Monitoring and Alerts arrow_forward
Go to the DataStax website
menu_bookReview common terms
supportAccess support resources
downloadingInstall files and drivers