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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · Mastodon — fosstodon.org Italiano(IT) ·

    SQL Server 2025 and Azure SQL: Vectors, Native AI Models, and Autonomous Agents in SQL Server 2025 Database Introduces VECTOR Data Type with DiskANN Index, the R

    Microsoft is integrating advanced AI capabilities directly into SQL Server 2025 and Azure SQL Database, transforming them into first-class AI platforms. Key features include a native VECTOR data type with DiskANN indexing for semantic search and the ability to register external AI models, such as those from Azure OpenAI, as database objects. This allows for native Retrieval-Augmented Generation (RAG) implementations within SQL Server, eliminating the need for separate vector databases and simplifying data management and security. AI

    SQL Server 2025 and Azure SQL: Vectors, Native AI Models, and Autonomous Agents in SQL Server 2025 Database Introduces VECTOR Data Type with DiskANN Index, the R

    IMPACT Accelerates enterprise adoption of RAG patterns by embedding vector search and LLM integration directly into relational databases.

  2. TOOL · Towards AI English(EN) ·

    Azure Data Factory: Moving Data from Blob to SQL

    This article explains Azure Data Factory (ADF), a cloud service designed to move and transform data between various storage locations. ADF acts as an orchestrator, ensuring data is transferred reliably without storing it itself. The piece details a practical example of using ADF to move customer order data from Azure Blob Storage into an Azure SQL Database for analysis. AI

    Azure Data Factory: Moving Data from Blob to SQL

    IMPACT Explains a cloud data integration tool, relevant for data engineers managing AI/ML pipelines.

  3. SIGNIFICANT · dev.to — MCP tag English(EN) · · [10 sources]

    MCP is the USB-C of AI tools, and most devs are still using their AI assistant like it is 2023

    The Model Context Protocol (MCP) is emerging as a standard for connecting AI applications to external data and tools, enabling models like Claude and ChatGPT to access information and perform tasks. Several articles highlight MCP's role in bridging the gap between AI capabilities and real-world data access, emphasizing the need for secure and controlled connections, especially when interacting with sensitive databases. Tools like APIKumo are automating the creation of MCP endpoints for APIs, while Conexor provides infrastructure for secure database and API connections, underscoring the protocol's growing importance in making AI more functional and integrated. AI

    MCP is the USB-C of AI tools, and most devs are still using their AI assistant like it is 2023

    IMPACT MCP is becoming a crucial standard for AI integration, enabling seamless connections to data and tools and potentially simplifying development by offering a unified interface.