Semantic search retrieves information based on meaning rather than exact keyword matching. Instead of matching the exact phrase, it understands that «affordable hotel near the medina» and «budget riad in the old city» are asking for the same thing. It uses embeddings to convert queries and documents into vectors, then finds the nearest vectors. Semantic search is the foundation of modern RAG systems and product search engines.
NLP
Semantic Search
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