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.
Currently there are no comments in this discussion, be the first to comment!