What differentiates Semantic search from traditional keyword search?

Comprehensive and Detailed In-Depth Explanation:

Semantic search uses embeddings and NLP to understand the meaning, intent, and context behind a query, rather than just matching exact keywords (as in traditional search). This enables more relevant results, even if exact terms aren’t present, making Option C correct. Options A and B describe traditional keyword search mechanics. Option D is unrelated, as metadata like date or author isn’t the primary focus of semantic search. Semantic search leverages vector representations for deeper understanding.

OCI 2025 Generative AI documentation likely contrasts semantic and keyword search under search or retrieval sections.