Search Relevance

January 29, 2025

How to search languages with compound words

Compound words present challenges in search engines during text analysis and tokenization, as they can obscure meaningful connections between word components. Tools like the Hyphenation Decompounder Token Filter help address these issues by deconstructing compound words.

How to search languages with compound words
Improve search results by calibrating model scoring in Elasticsearch

December 23, 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

Ensuring business rules work seamlessly with semantic search

December 19, 2024

Ensuring business rules work seamlessly with semantic search

Harness the power of query rules combined with semantic search and rerankers.

Elasticsearch retrievers are generally available with Elasticsearch 8.16.0!

November 14, 2024

Elasticsearch retrievers are generally available with Elasticsearch 8.16.0!

Elasticsearch retrievers have gone through a significant revamp and are now generally available for all to use. Learn all about their architecture and use-cases.

Reranking with an Elasticsearch-hosted cross-encoder from HuggingFace

November 4, 2024

Reranking with an Elasticsearch-hosted cross-encoder from HuggingFace

Learn how to use a model from Hugging Face to host and perform semantic-reranking in Elasticsearch.

Interval queries: why they are true positional queries, and how to transition from Span

November 1, 2024

Interval queries: why they are true positional queries, and how to transition from Span

Explains how Interval queries are true positional queries and how to transition to them from Span queries.

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.

Personalized search with learning-to-rank (LTR)

August 30, 2024

Personalized search with learning-to-rank (LTR)

Learn how to train ranking models that improve search relevance for individual users and personalize search through learning-to-rank (LTR) in Elasticsearch.

Looking back: Elastic's vector search improvements in Elasticsearch & Lucene

Looking back: Elastic's vector search improvements in Elasticsearch & Lucene

Looking back at Elastic's vector search innovations in Elasticsearch and Lucene.

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