Screenshot of the code in the post for creating a table. -- Create a table to store product data, including vector embeddings CREATE TABLE Product ( ProductID INT PRIMARY KEY, Name NVARCHAR (255), Category NVARCHAR (50), Description NVARCHAR (MAX), ProductDescriptionVector VECTOR (768), -- Assuming 768-dimensional embeddings CreatedAt DATETIME2 DEFAULT GETDATE () );
Traditional T-SQL queries are great for structured data and exact matches. But they struggle with nuance. That’s where vector search comes in.
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