What Are Vector Embeddings? (Explained in 2 Minutes)

In under 2 minutes, we explain what vector embeddings are, how they work, and how to use them in real-world applications like text expansion. We'll also show how Elasticsearch supports vector search with two powerful models: E5, open-source text embedding models designed for multilingual search, and ELSER, a sparse embeddings model from Elastic.

[Video] Quick Question - Full Episodes → Quick Question
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https://www.elastic.co/virtual-events/getting-started-elasticsearch

00:00 Quick Questions in the Age of AI

00:15 What are vector embeddings? (numerical meaning of data)

00:40 Example: dog vs retriever vs cookies

01:00 Embedding models vs vector databases explained

01:20 Popular embedding models: E5 and ELSER

01:49 Elastic resources

Learn more about vector embeddings: https://www.elastic.co/what-is/vector-embedding
Learn more about Elasticsearch: https://www.elastic.co/elasticsearch

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About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500. #elasticsearch #ElasticObservability #ElasticSecurity