Vectorize with Azure OpenAI

Search and analyze data based on its true meaning with vector embeddings, increasing effectiveness for tasks like semantic search and text comparison.

Overview

Azure OpenAI's embeddings leverage advanced transformer models to convert unstructured data into high-dimensional vectors for various generative AI applications. This technology excels in applications like semantic search, where it matches queries with contextually similar documents, and recommendation systems, offering personalized suggestions based on user behavior. Azure OpenAI embeddings also power intelligent chatbots and content moderation by understanding nuanced data.

Generate Vector Embeddings with Azure OpenAI and Astra DB

By integrating with DataStax Vectorize, vector embeddings are efficiently generated with a single line of code and stored in DataStax Astra DB. The result is a streamlined, fast, accurate AI application development process based on a modern vector processing technology.

Leaders like Barracuda and Temporal manage Apache Cassandra® with Astra DB. You can too.

FAQ

What is Azure OpenAI?

Azure OpenAI Service is Microsoft's cloud platform that lets you leverage OpenAI's powerful AI models. It provides access to cutting-edge generative AI, including text and code creation, translation, and image generation. Developers can use pre-built models or fine-tune them for specific tasks, all within a secure and controlled environment with built-in safeguards against misuse. Think of it as a playground for developers to experiment with cutting-edge AI capabilities and build intelligent applications.

What is Astra DB?

The Astra DB vector database gives developers a familiar, intuitive Data API for vector and structured data types, and all the ecosystem integrations required to deliver production-ready generative AI applications on any infrastructure with unlimited scale.

How does Azure OpenAI work?

Azure OpenAI simplifies AI integration for developers. They leverage pre-built models or fine-tune them within Azure for tasks like code writing or content creation. The service offers a familiar coding environment with built-in safeguards. Developers interact with Azure OpenAI through code, sending requests specifying the desired action (e.g., image generation) and data. This allows them to harness the power of OpenAI's AI directly within their Azure projects.

When should I use the Vectorize with Azure OpenAI versus OpenAI integration?

OpenAI is good for initial exploration and cost-conscious projects with less stringent security needs.

Azure OpenAI provides a more secure, user-friendly, and integrated experience for developers working within the Azure cloud.

Is it free to use the Vectorize with Azure OpenAI integration?

There is no cost to use Vectorize at this time, but see the Azure OpenAI website for more information regarding embedding provider pricing.

Do I need an Azure OpenAI account to use this integration?

Yes, users need a paid Azure OpenAI account to access Azure OpenAI's embedding models and services within the Astra Vectorize environment.

Leaders like Barracuda and Temporal manage Apache Cassandra® with Astra DB. You can too.

Vectorize Embeddings with Azure OpenAI and Astra DB

Search and analyze data based on its true meaning with vector embeddings, increasing effectiveness for tasks like semantic search and text comparison.