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Glossary·
Minsk · WarsawHire us
Embeddings and vector search
A way of turning text, images, or audio into numeric vectors where similar meanings end up close together, so a system can find items by sense rather than by exact keyword match.
Why it matters
It is what makes search work when the user phrases a question differently from the document, and what powers recommendations, deduplication, and the retrieval step behind any assistant built on your data.
How we approach it
We select the embedding model by measured quality on your actual content, store vectors in a database that fits your scale, and combine vector search with keyword filters, because pure semantic search misses exact codes and names.
