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Articles by Quentin Herreros

Senior Data Scientist

Quentin is a data scientist on the Elasticsearch team. He focuses on characterizing and designing NLP models to enhance the search experience. Before Elastic, Quentin worked on diverse projects, including infra-red sensors for space missions and superconductive sensors for low-field MRI.

Videos

Improving information retrieval in the Elastic Stack: Hybrid retrieval

In this blog we introduce hybrid retrieval and explore two concrete implementations in Elasticsearch. We explore improving Elastic Learned Sparse EncodeR’s performance by combining it with BM25 using Reciprocal Rank Fusion and Weighted Sum of Scores.

Videos

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.

Videos

Improving information retrieval in the Elastic Stack: Benchmarking passage retrieval

In this blog post, we'll examine benchmark solutions to compare retrieval methods. We use a collection of data sets to benchmark BM25 against two dense models and illustrate the potential gain using fine-tuning strategies with one of those models.

Videos

Improving information retrieval in the Elastic Stack: Steps to improve search relevance

In this first blog post, we will list and explain the differences between the primary building blocks available in the Elastic Stack to do information retrieval.