Semantic search is a search approach that seeks to understand the meaning and context of a query and the content being searched. It uses techniques such as natural language processing, entity recognition, embeddings, and relationship analysis to return results based on intent and conceptual relevance rather than exact keyword matching alone.
A side-by-side comparison of Approximate Nearest Neighbor and Semantic Search. Understand how the terms differ, when each applies, and what the distinction means for AI governance, system design, or assurance evidence.
A side-by-side comparison of Data Indexing and Semantic Search. Understand how the concepts differ, when each term applies, and why the distinction matters for AI governance, evaluation, or system design.