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Building Smart Search: How Embeddings and kNN Make Search Feel Human

  • Smart search systems use embeddings and kNN search to understand human intent and provide accurate results.
  • Embeddings translate words into numbers to capture their meaning, enabling computers to comprehend user queries better.
  • The combination of embeddings and kNN search facilitates semantic search, allowing retrieval of semantically similar documents efficiently.
  • The system leverages Elasticsearch with dense vector fields and HNSW for fast and accurate kNN searches, improving search performance at scale.

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