Semantic search
Search by meaning rather than keyword match — typically implemented with embeddings and a vector database.
Semantic search
Semantic search — Search by meaning rather than keyword match — typically implemented with embeddings and a vector database.
Semantic search is what makes RAG work: agents find conceptually relevant documents even when the user's query and the document use different words.
How xyner approaches semantic search
xyner treats semantic search as a first-class platform concern — the relevant capability is documented and tested, with clear integration points for enterprise architecture teams.
For a deeper technical reference, see the related capability page or the corresponding whitepaper linked below.
See also
Related: vector database, embedding, RAG.
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