Coral Cloud Resorts is implementing Agentforce retrieval. Customers sometimes type ambiguous terms (for example, "package" could mean vacation package or baggage). Which retrieval strategy best…

Question

Options

• AUse hybrid search, which combines keyword matching for precision with semantic embeddings
• BUse semantic search only, which captures intent but may struggle with ambiguous terms when no
• CUse keyword search only, which prioritizes exact term matching but risks missing contextual

• A
  74% (20)
• B
  11% (3)
• C
  15% (4)

Explanation

Hybrid search combines two complementary retrieval methods: keyword (lexical) matching and semantic vector embeddings. Keyword matching ensures that exact or near-exact terms in the query are surfaced precisely, while semantic embeddings capture the contextual intent behind ambiguous words. For a term like 'package,' keyword search alone would return all documents containing that word with no sense of context, and pure semantic search might still be confused by the term's dual meaning. Hybrid search mitigates both weaknesses: the keyword component anchors results to the literal term, and the semantic component uses surrounding context (e.g., 'I booked a trip' vs. 'my luggage was lost') to disambiguate intent. This is the recommended approach in Agentforce Data Cloud/Einstein Search for retrieval-augmented generation (RAG) scenarios where precision and relevance both matter.

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