TP

Thanos Papaoikonomou

Senior ML Engineer

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.

Evaluating search relevance part 2 - Phi-3 as relevance judge

19 septembre 2024

Evaluating search relevance part 2 - Phi-3 as relevance judge

Using the Phi-3 language model as a search relevance judge, with tips & techniques to improve the agreement with human-generated annotation.

Evaluating search relevance part 1 - The BEIR benchmark

16 juillet 2024

Evaluating search relevance part 1 - The BEIR benchmark

Learn to evaluate your search system in the context of better understanding the BEIR benchmark, with tips & techniques to improve your search evaluation processes.

Evaluating scalar quantization in Elasticsearch

Evaluating scalar quantization in Elasticsearch

Learn how scalar quantization can be used to reduce the memory footprint of vector embeddings in Elasticsearch through an experiment.

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.

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