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Velaris

Technique

What is Vector Search?

Also known as: semantic search, embeddings search

Vector search finds results by meaning rather than exact keywords, by comparing numerical embeddings of text.

Text is converted into vectors (embeddings) that capture meaning, so 'cancel my subscription' can match 'end my plan' even with no shared words. Search then finds the nearest vectors.

It's the engine behind semantic retrieval — powering RAG, capability-mesh tool discovery, and any search that should understand intent, not just match strings.

Related terms

Retrieval-Augmented Generation Capability Mesh

See it in action

Velaris puts vector search to work inside a real AI Operating System.

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