ARVK Labs · Learn · Gen AI Explained

Embeddings & vector search

An embedding turns text into a list of numbers — a point in space — so that things with similar meaning land close together. "Search" then just means: find the nearest points to your query.

meaning → cat dog rabbit king queen car truck query: "kitten"
1 · EmbedEach word/chunk becomes a vector (a point).
2 · PlaceSimilar meanings cluster together.
3 · SearchFind the nearest points to the query.
"kitten" lands right beside cat, dog and rabbit — not near king or car — so a search returns the animals. This is the engine under every RAG system and semantic search. You'll work with real vector databases in FORGE.
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