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Astra DB Serverless
DataStax Astra DB Serverless 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(API_ENDPOINT)
# Ingest vectors into your collection
collection = database.test_collection
collection.insert_many(documents=DOCUMENTS)
# Find the closest vectors
collection.find(sort={"$vector": [0.15, 0.1, 0.1, 0.35, 0.55]})Popular Products
Astra DB Serverless
Scale with cloud-native databases
Langflow
Build GenAI Apps and get to production fast
Hyper-Converged Database with Vector
Supports new AI and advanced workloads
DSE
Enterprise scalability and performance
Mission Control
Manage your data ecosystem
Astra Streaming
Efficient data streaming
Latest Additions
Migrate with Astra DB Sideloader Astra DB
Migrate your data and applications with little or no downtime.
Read About Astra DB Sideloader
Find data with hybrid search Astra DB
Combine vector search and reranking for highly relevant search results.
Read Find data with hybrid search
Hyper-Converged Database tutorial HCD
Load vector embeddings into a HCD namespace and run a similarity search.
Try Vector database and vector search tutorial arrow_forward
Work with AI
Introduction to vector databases Astra DB
Learn about terminology, best practices, and use cases for vector databases.
Read What are vector databases
Vector database quickstart Astra DB
Go from database creation to similarity search in 15 minutes.
Try Astra DB Serverless collections quickstart
Langflow quickstart Langflow
Build a RAG application in DataStax Langflow.
Try Langflow quickstart