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.
Learn more about Vector Search: www.elastic.co/what-is/vector...
Take a deeper dive into Elastic Search solutions: www.elastic.co/enterprise-search
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About Elastic
Elastic is the leading platform for search-powered solutions, and we help everyone - organizations, their employees, and their customers - find what they need faster, while keeping applications running smoothly, and protecting against cyber threats. When you tap into the power of Elastic Enterprise Search, Observability, and Security solutions, you’re in good company with brands like Netflix, Uber, Slack, Microsoft, and thousands of others who rely on us to accelerate results that matter.
#ElasticON #VectorSearch #Elasticsearch #ElasticEnterpriseSearch #ElasticObservability #ElasticSecurity

[@deepikamewara2948]

This was a very useful session, thankyou!

[@BDShepon]

❣❣❣❣Super

[@sohans3550]

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?