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Astra DB Serverless
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(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 Additionsnew_label
Hyper-Converged Database quickstart HCD
Load vector embeddings into a HCD namespace and run a similarity search.
Vector database quickstart with Data API with vectorize arrow_forward
Auto-generate embeddings with vectorize Astra DB
Integrate with external and Astra-hosted embedding providers.
Read Auto-generate embeddings with vectorize arrow_forward
Get started with the Data API Astra DB
Use the Data API to programmatically interact with Astra DB Serverless.
Read Get started with the Data API arrow_forward
Working with AI smart_toy
Intro to vector databases Astra DB
Learn about terminology, best practices, and use cases for vector databases.
Read Intro to vector databases arrow_forward
Vector database quickstart Astra DB
Go from database creation to similarity search in 15 minutes.
Read Vector database quickstart arrow_forward
Langflow quickstart Langflow
Build a RAG application in DataStax Langflow.
Read Langflow quickstart arrow_forward
