Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?

Question

Options

• AHybrid search indexes process queries faster than vector search because they eliminate the need
• BVector embedding in hybrid search are prefiltered by keyword matches, reducing computational
• CHybrid search indexes support both literal keyword matches and semantic recall, useful when

• A
  5% (2)
• B
  3% (1)
• C
  92% (35)

Explanation

According to the AgentForce Data Cloud Search Indexing Guide and RAG Optimization Framework, a hybrid search index combines both keyword-based (lexical) and vector-based (semantic) search capabilities. This dual-mode retrieval enables AgentForce to interpret user intent while still honoring exact keyword matches. In many enterprise scenarios, queries contain a mixture of specific terms (e.g., "contract ID 54321") and semantic intent (e.g., "renew my subscription"). A purely vector search might overlook exact keywords, while a keyword-only search might miss semantically relevant results. Hybrid indexing ensures that both types of retrieval are available simultaneously - providing the best balance of precision and contextual understanding.

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