DataStax enters GenAI collaboration with Microsoft

Generative AI company DataStax is collaborating with Microsoft to make it easier for enterprises to build AI-powered applications with legacy data.

DataStax has integrated with Microsoft Semantic Kernel, which will enable enterprises to use its Astra DB database product using Semantic Kernel’s open source SDK for AI applications and agents.

The open source Semantic Kernel solution enables C#, Python or full-stack application developers to build retrieval-augmented generation (RAG) applications and AI agents utilising their own enterprise data. It can be used with popular orchestration models including OpenAI, Azure OpenAI, GitHub CoPilot and Hugging Face.

Integrating Semantic Kernel with Astra DB enables support for features including semantic functions, chaining capabilities, planners and connectors for various enterprise applications and data sources, according to DataStax Chief Product Officer Ed Anuff.

“Out-of-the-box RAG solutions are in high demand and are a pivotal differentiator for enterprises building GenAI applications because of the complexities and many obstacles that developers face,” he said. “The integration between Astra DB and Semantic Kernel goes beyond technical upgrades, it opens the doors to a spectrum of generative AI use-cases, ranging from tailored customer support to insightful product recommendations.

“It’s not just about simplifying development; it’s about fostering the creation of more intelligent, responsive and personalised generative AI applications that have the potential to reshape entire industries.”

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