ML Research

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Introducing Scalar Quantization in Lucene
LuceneML Research

Introducing Scalar Quantization in Lucene

How did we introduce scalar quantization into Lucene

Benjamin Trent

Scalar quantization 101
LuceneML Research

Scalar quantization 101

What is scalar quantization and how does it work?

Benjamin Trent

Improving information retrieval in the Elastic Stack: Improved inference performance with ELSER v2
ML Research

Improving information retrieval in the Elastic Stack: Improved inference performance with ELSER v2

Learn about the improvements we've made to the inference performance of ELSER v2.

Thomas Veasey

Quentin Herreros

Valeriy Khakhutskyy

Improving information retrieval in the Elastic Stack: Optimizing retrieval with ELSER v2
ML Research

Improving information retrieval in the Elastic Stack: Optimizing retrieval with ELSER v2

Learn about how we're reducing retrieval costs for ELSER v2.

Thomas Veasey

Quentin Herreros

Valeriy Khakhutskyy

Generative AI architectures with transformers explained from the ground up
ML ResearchGenerative AI

Generative AI architectures with transformers explained from the ground up

This long-form article explains how generative AI works, from the ground all the way up to generative transformer architectures with a focus on intuitions.

Aris Papadopoulos

Vector search in Elasticsearch: The rationale behind the design
Vector SearchML Research

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.

Adrien Grand

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

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.

Sean Heelan

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

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.

Matt Riley

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

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.

Thomas Veasey

Quentin Herreros