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Semantic Search

Semantic search finds results based on meaning and intent rather than exact keyword matches, usually by comparing embeddings.

Analogy

Like a search that understands you asked for "affordable" even when the document says "budget-friendly."

Why it matters

It lets your automations retrieve the right knowledge for a query even when wording differs, improving the quality of AI replies.

In practice

Searching "how do I get a refund" surfaces a doc titled "Returns and Money-Back Policy."

Related terms:EmbeddingVector DatabaseRAG