QH

Quentin Herreros

Senior MLE | ML - Data

Articles de l'auteur

Improve search results by calibrating model scoring in Elasticsearch

23 décembre 2024

Improve search results by calibrating model scoring in Elasticsearch

Learn how to leverage annotated data to calibrate semantic model scoring for better search results

Exploring depth in a 'retrieve-and-rerank' pipeline

5 décembre 2024

Exploring depth in a 'retrieve-and-rerank' pipeline

Select an optimal re-ranking depth for your model and dataset.

Introducing Elastic Rerank: Elastic's new semantic re-ranker model

25 novembre 2024

Introducing Elastic Rerank: Elastic's new semantic re-ranker model

Learn about how Elastic's new re-ranker model was trained and how it performs.

What is semantic reranking and how to use it?

29 octobre 2024

What is semantic reranking and how to use it?

Introducing the concept of semantic reranking. Learn about the trade-offs using semantic reranking in search and RAG pipelines.

RAG evaluation metrics: A journey through metrics

1 décembre 2023

RAG evaluation metrics: A journey through metrics

Explore RAG evaluation metrics like BLEU score, ROUGE score, PPL, BARTScore, and more. Discover how Elastic is evaluating RAG with UniEval.

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

17 octobre 2023

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, achieving a 60% to 120% speed increase over ELSER v1.

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

17 octobre 2023

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

Learn how we are reducing the retrieval costs of the Learned Sparse EncodeR (ELSER) v2.

Improving information retrieval in the Elastic Stack: Hybrid retrieval

20 juillet 2023

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.

Improving information retrieval in the Elastic Stack: Benchmarking passage retrieval

13 juillet 2023

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.

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

13 juillet 2023

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.

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

21 juin 2023

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

Learn about the Elastic Learned Sparse Encoder (ELSER), its retrieval performance, architecture, and training process.

Prêt à créer des expériences de recherche d'exception ?

Une recherche suffisamment avancée ne se fait pas avec les efforts d'une seule personne. Elasticsearch est alimenté par des data scientists, des ML ops, des ingénieurs et bien d'autres qui sont tout aussi passionnés par la recherche que vous. Mettons-nous en relation et travaillons ensemble pour construire l'expérience de recherche magique qui vous permettra d'obtenir les résultats que vous souhaitez.

Jugez-en par vous-même