Efficiently and Elegantly Modeling Embeddings in Azure SQL and SQL Server
Storing and querying text embeddings in a database it might seem challenging, but with the right schema design, it’s not only possible, it’s powerful. Whether you’re building AI-powered search, semantic filtering, or recommendation features, embeddings, and thus vectors, are now a first-class data type. So how do you model them well inside a database like […]
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