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ML Research - Elasticsearch Labs

ML Research

December 19, 2024

Understanding optimized scalar quantization

In this post we explain a new form of scalar quantization we've developed at Elastic that achieves state-of-the-art accuracy for binary quantization

Understanding optimized scalar quantization
cRank it up! - Introducing the Elastic Rerank model (in Technical Preview)

December 10, 2024

cRank it up! - Introducing the Elastic Rerank model (in Technical Preview)

Get started in minutes with the Elastic Rerank model: powerful semantic search capabilities, with no required reindexing, provides flexibility and control over costs; high relevance, top performance, and efficiency for text search.

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

December 5, 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

November 25, 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.

Better Binary Quantization vs. Product Quantization

November 18, 2024

Better Binary Quantization vs. Product Quantization

Why we chose to spend time working on better binary quantization instead of product quantization in Lucene and Elasticsearch.

What is semantic reranking and how to use it?

What is semantic reranking and how to use it?

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

RaBitQ binary quantization 101

October 22, 2024

RaBitQ binary quantization 101

Understand the most critical components of RaBitQ binary quantization, how it works and its benefits. This guide also covers the math behind the quantization and examples.

Comparing ELSER for retrieval relevance on the Hugging Face MTEB Leaderboard

October 7, 2024

Comparing ELSER for retrieval relevance on the Hugging Face MTEB Leaderboard

This blog compares ELSER for retrieval relevance on the Hugging Face MTEB Leaderboard.

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

September 19, 2024

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

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

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