Microsoft and DataStax Simplify Building AI Agents with Legacy Apps and Data

Microsoft's Semantic Kernel, an open-source SDK, has integrated with DataStax Astra DB to help developers build generative AI agents that can call existing code and leverage retrieval-augmented generation (RAG). This integration enables the creation of production-grade GenAI apps and AI agents using the precision and relevance provided by RAG. Semantic Kernel is a GenAI/RAG application and agent orchestration framework in Microsoft's stack of AI copilots and models, offering capabilities for managing contextual conversations, planners for multi-step functions, and connections for third-party APIs. The Astra DB connector in Python enables Astra DB to function as a vector database within Semantic Kernel, allowing developers to build powerful RAG applications with extended contextual conversation capabilities and multi-function or planner capabilities on a globally scalable vector database. This integration benefits the GenAI developer community, particularly those working in the Microsoft/Azure ecosystem, by enabling more intelligent, responsive, and personalized AI applications that can transform industries.

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