ML Research

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•Adrien Grand

Vector search in Elasticsearch: The rationale behind the design

There are different ways to implement a vector database, which have different trade-offs. In this blog, you'll learn more about how vector search has been integrated into Elastisearch and the trade-offs that we made.

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Vector search in Elasticsearch: The rationale behind the design
Open-sourcing sysgrok — An AI assistant for analyzing, understanding, and optimizing systems

Open- sourcing sysgrok — An AI assistant for analyzing, understanding, and optimizing systems

Sysgrok is an experimental proof-of-concept, intended to demonstrate how LLMs can be used to help SWEs and SREs understand systems, debug issues, and optimize performance.

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Sean Heelan

Introducing Elasticsearch Relevance Engine™ — Advanced search for the AI revolution

Introducing Elasticsearch Relevance Engine™ — Advanced search for the AI revolution

Elasticsearch Relevance Engine™ (ESRE) powers generative AI solutions for private data sets with a vector database and machine learning models for semantic search that bring increased relevance to more search application developers.

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Matt Riley

Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model

Improving information retrieval in the Elastic Stack: Introducing Elastic Learned Sparse Encoder, our new retrieval model

Deep learning has transformed how people retrieve information. We’ve created a retrieval model that works with a variety of text with streamlined processes to deploy it. Learn about the model’s performance, its architecture, and how it was trained.

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Thomas Veasey, Quentin Herreros

Introducing Elastic Learned Sparse Encoder: Elastic’s AI model for semantic search

Introducing Elastic Learned Sparse Encoder: Elastic’s AI model for semantic search

Elastic Learned Sparse Encoder is an AI model for high relevance semantic search across domains. As a sparse vector model, it expands the query with terms that don't exist in the query itself, delivering superior relevance without domain adaptation.

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Aris Papadopoulos, Gilad Gal

Stateless — your new state of find with Elasticsearch

Stateless — your new state of find with Elasticsearch

Discover this future of stateless Elasticsearch. Learn how we’re investing in building a new fully cloud native architecture to push the boundaries of scale and speed.

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Leaf Lin, Tim Brooks and 1 other

Implementing academic papers: lessons learned from Elasticsearch and Lucene

Implementing academic papers: lessons learned from Elasticsearch and Lucene

This post shares strategies for incorporating academic papers in a software application, drawing our experiences with Elasticsearch and Lucene.

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Julie Tibshirani