Piotr Przybył

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Senior Developer Advocate Elastic

Senior Developer Advocate at Elastic

Bio from: (Virtual EMEA) Do you really need a Vector Search Database?

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Elasticsearch & Trendyol in Berlin 1 (Virtual EMEA) Do you really need a Vector Search Database? 1

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Vector Search: Going Beyond Dense Embeddings

· (Virtual EMEA) Do you really need a Vector Search Database?

talk

vector search embeddings sparse vectors semantic search

Vector search is typically associated with embeddings - sequences of floating-point numbers. However, semantic search isn’t limited to dense_vector. In this talk, I’ll introduce you to sparse vectors, semantic text, and more.