Author

Articles by Bernhard Suhm

Product Marketing - Machine Learning, Elastic

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Elastic Stack 8.9: Faster cross-cluster searches and aggregations on metrics

Elastic Stack 8.9 delivers significant speed-up of aggregations for metrics, faster and more reliable cross-cluster searches, and management of alert rules using Terraform.

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How to get the best of lexical and AI-powered search with Elastic’s vector database

Elastic has all you should expect from a vector database — and much more! You get the best of both worlds: traditional lexical and AI-powered search, including semantic search out of the box with Elastic’s novel Learned Sparse Encoder model.

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Accessing machine learning models in Elastic

Bring your own transformer models into Elastic to use optimized embedding models and NLP, or integrate with third-party transformer modes such as OpenAI GPT-4 via APIs to leverage more accurate, business-specific content based on private data stores.

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Go behind the scenes of image similarity search and understand the five components that implementing similarity search applications entails, and become familiar with the technical considerations that are critical for performance.

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Overview of image similarity search in Elasticsearch

Searching through images to find the right one has always been a challenge. But with image similarity search, you can create a more intuitive search experience. Learn more about image similarity search in Elastic.

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Elastic Stack & Cloud: Start from AWS in 3 clicks, learn about Elastic’s serverless vision

Get started from the AWS marketplace in just 3 clicks. Discover a vision for serverless built on a new stateless Elasticsearch architecture. Benefit accelerated time to insights, ease of use for a wide range of ML models, including vector search.