intermediateEmbeddings & Vector Databases
Why can't you just use a regular SQL `WHERE` clause to find 'semantically similar' text?
SQL comparisons are exact or pattern-based (equality, LIKE) — they have no concept of meaning, so a query for 'cheap laptop' would never match a document saying 'affordable notebook' via SQL. A vector database instead compares embedding vectors using similarity math, which captures meaning rather than literal text overlap.
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Why can't you just use a regular SQL `WHERE` clause to find 'semantically similar' text?