DataStax Astra DB

Vector and RAG Made Easier

Astra DB gives developers the APIs, real-time data and ecosystem integrations to put accurate RAG and Gen AI apps with fewer hallucinations in production - FAST.

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Real-time Vector data for RAG

Accurate Gen AI

Vector updates available with ZERO latency delays.

Production-level

High performance and serverless for distributed production workloads.

Proven and Trusted

Built on Cassandra, choice of AI leaders, with enterprise security and compliance.

Developers

RAG Made Easier

Elegant APIs and powerful integrations for production-level RAG and FLARE.

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Create

Create a table using the VECTOR type

Load

Easily load vectors like any other data type

Index

Create a Storage Attached Index which enables high performance ANN (Approximate Nearest Neighbor) search

Query

Query to perform similarity search

CREATE TABLE my_vectors (my_id text PRIMARY KEY, my_vector vector<float, 3>);

Generative AI Leaders Shaping their Industries

“Priceline has been at the forefront of using machine learning for many years. Vector search gives us the ability to semantically query the billions of real-time signals we receive as part of our checkout experience that flow back to Astra DB. We plan to use Google Cloud’s Generative AI capabilities alongside Astra DB’s vector search to power our real time data infrastructure and Generative AI experiences."

Martin Brodbeck

CTO, Priceline

“Vector search is a really important aspect of Generative AI. It has multiple applications for example, holding in personalized or contextually relevant information to those large language model interactions to make them more contextually relevant.”

Kel Vanee

VP of Machine Learning Engineering

“Finding specific policies and operating procedures is time-consuming and challenging due to scattered storage across various platforms. Using Astra DB's vector search capabilities, SkyPoint can leverage these benefits to enhance its services, offering users real-time, contextual, and personalized solutions. This leads to accurate predictions and personalized healthcare outcomes at a lower cost.”

Tisson Mathew

Founder & CEO, SkyPoint AI

"In 2017, we started to use DataStax. For the first time in the bank's history, we can provide a real 360-degree view of customers—not only to internal people but also to the customers: all the products in a nice, simple view. Personalization will be more and more important. In our opinion, that will be the key differentiation.”

Luis Uguina

Chief Digital Officer, Macquarie

"Financial services enterprises are unlocking the value of enriched transactional data with the Bud platform. We depend on DataStax Astra DB for the dynamic scalability and high performance we need to apply machine learning (ML) to real-time data. This means we can provide highly accurate, actionable insights for our clients and their customers."

Michael Cullum

VP of Engineering, Bud

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