What Is Vector Search? Difference Between Vector & Semantic Search Explained [Quick Question Ep. 5]

What is vector search? In this breakdown, learn how vector search leverages machine learning to capture the meaning and context of unstructured data by transforming it into a numeric representation that is stored in a vector database. This video also explains the difference between sparse and dense embeddings, and how vector search differs from semantic search and lexical search.

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0:00 - What is Vector Search?
0:29 - How Vector Search Works (inference → embeddings → vectors)
0:45 - Vector Search vs Semantic Search
0:58 - What are Vector Embeddings?
1:11 - Sparse Embeddings & Text Expansion
1:33 - Dense Embeddings
1:56 - Wrap‑Up + Where to Learn More

Additional Resources:
Learn more about semantic search: https://www.elastic.co/what-is/semantic-search
Learn more about Elasticsearch: https://www.elastic.co/elasticsearch

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Видео What Is Vector Search? Difference Between Vector & Semantic Search Explained [Quick Question Ep. 5] канала Elastic