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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 Additions
Hyper-Converged Database tutorial HCD
Load vector embeddings into a HCD namespace and run a similarity search.
Vector database tutorial 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
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
Working with AI
Intro to vector databases Astra DB
Learn about terminology, best practices, and use cases for vector databases.
Read Intro to vector databases
Vector database quickstart Astra DB
Go from database creation to similarity search in 15 minutes.
Read Vector database quickstart
Langflow quickstart Langflow
Build a RAG application in DataStax Langflow.
Read Langflow quickstart
