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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(vector=[0.15, 0.1, 0.1, 0.35, 0.55])Integrations
Enhance your AI-enabled application with tools for orchestration and data ingestion.
Unstructured Integration
Data ingestion just got a lot easier with Unstructured, Langflow, and Astra DB.
View Integration
Vectorize with NVIDIA
Generate vector embeddings directly from your database with 20x performance at 80% lower cost, simplifying the embedding process.
View Integration
LangChain Python
A comprehensive framework for generative AI and RAG orchestration and data management.
View Integration
Vectorize with OpenAI
Capture intricate relationships in your content with vector embeddings—ideal for tasks like search and recommendation systems.
View IntegrationCONNECT
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DataStax at AWS re:Invent 2024
Build the Next Era of Agentic Workflows
Graph-Powered Chatbots with LangChain
Virtual EventMastering Apache Cassandra®: Make 2025 Your Most Successful Yet
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Blog
Code-first blog posts on what's new and how to build using AI.
Build Powerful Multi-Agents with Langflow 1.1
