AI is revolutionizing society, particularly in how data is handled. Microsoft SQL Server and Azure SQL are leading platforms for data utilization in modern applications while supporting AI capabilities essential in today’s era. These platforms enable the creation of new generative AI experiences that are further enhanced when combined with user data. Additionally, they elevate AI assistance through copilot features for self-help and natural language to SQL interactions.
To begin exploring these new AI experiences with Azure SQL and SQL Server, visit Microsoft Mechanics for more details. Microsoft emphasizes responsible AI practices, focusing on fairness, reliability, privacy, transparency, inclusiveness, and accountability. Users are assured that their private data, including inputs and outputs, is not used for model finetuning by Microsoft.
Generative AI applications aim to boost productivity, creativity, and efficiency by generating content in various forms like text, audio, and video. While existing generative AI applications offer some benefits, integrating these with user-specific data, housed in databases, can unlock more powerful insights. Techniques like prompt engineering, Retrieval Augmented Generation (RAG), and hybrid search allow users to interact intelligently with their data, providing tailored responses and faster searches using natural language prompts.
Hybrid search, combining vector search and SQL query capabilities, inside Azure SQL Database presents a sophisticated method for leveraging generative AI. By storing embeddings of text data within the database, users can use language models to generate embeddings for prompts, enhancing search accuracy and relevancy within the database engine.
For a quick start with no coding required, utilizing Azure AI Search to index SQL databases and Azure OpenAI Service for prompt-based interactions offers a seamless path to explore hybrid search capabilities. Additionally, alternative frameworks like LangChain and Semantic Kernel enable the creation of AI applications interfacing with Azure SQL Database.
Microsoft Copilot assists users in navigating various applications by providing AI-powered recommendations tailored to individual needs within platforms like Microsoft 365 and Azure. In Azure, Copilot integration enhances management of resources through self-guided assistance and SQL query authoring with T-SQL interactions.
The future of AI and SQL promises enhanced AI services, deeper integration with vector search, and improved Copilot experiences. Resources are available for further learning on SQL and AI technologies. Bob Ward, a Principal Architect at Microsoft Azure Data, contributes significantly to SQL and AI development and shares his expertise through various platforms and events.
Article Source
https://www.microsoft.com/en-us/sql-server/blog/2024/06/26/getting-started-with-delivering-generative-ai-capabilities-in-sql-server-and-azure-sql/
