Semantic search finds results by meaning rather than exact keywords, using embeddings to match a query to conceptually similar content. It returns relevant answers even when the wording differs.
Unlike keyword search, semantic search understands that "car" and "automobile" are related. Backed by a vector database, it powers modern site search, knowledge bases and the retrieval step in RAG systems.
Hand-picked, editorially linked — not auto-generated.
Lazlo engineers enterprise AI systems end to end — grounded, governed, in production.
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