Semantic search finds results based on the meaning of a query rather than exact keyword matches. Using embeddings, it understands that a search for cheap laptops relates to affordable notebooks even without shared words. This gives more relevant results, especially for natural-language questions, and it is a key building block for AI assistants and modern search inside websites and document collections.
Want this applied in your business? See how we take it to production:
We build this AI in production — at fixed prices, with one named expert. Start with a free consultation.
Book a free consultation →