ElasticON EMEA: The Search for Relevance with Vector Search

Many search applications have been built with Elastic’s rich set of information retrieval and ranking tools. Vector search ushers in a new era of search experience. One where queries don’t have to include specific keywords and semantic search applies not only to text, but also images and audio. Vector similarity unlocks new ways of intelligent discovery, such as recommendation engines in ecommerce and question-answering using transformer models. Since the 8.0 release, Elastic has fully embraced support for vector search and NLP, with approximate nearest neighbor search and importing pretrained PyTorch models. With Elastic, begin with traditional retrieval techniques, apply vector search where it matters, and get the best of both worlds by combining vector and traditional search.

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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.

#ElasticON #VectorSearch #Elasticsearch #ElasticEnterpriseSearch #ElasticObservability #ElasticSecurity

[MoiezIzmail]

great presentation, but the speaker seems either too nervous or super excited or maybe a bit of both, but still good!

[deepikamewara]

This was a very useful session, thankyou!

[sohans]

must this be on cloud? what about users who don't want data on cloud due to data privacy, security concerns? can I setup on-premise kubernetes cluster based ES and enable features described in this video?