A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
Abstract: Vector similarity search is a cornerstone of modern applications in machine learning, information retrieval, and recommendation systems, where identifying the most similar vectors to a query ...
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...
Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner developer paths.
Abstract: Neural Vector Search (NVS) has exhibited superior search quality over traditional key-based strategies for information retrieval tasks. An effective NVS architecture requires high recall, ...
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