Semantic Search

Semantic search retrieves documents by meaning rather than by exact keyword overlap. Queries and documents are both converted to embedding vectors, and search returns passages whose vectors are closest to the query vector. Unlike keyword search, semantic search handles synonyms, paraphrasing, and conceptual similarity naturally. It is the foundational retrieval mechanism in most dense RAG systems, though it can struggle with precise term matching that sparse methods handle well.