Category: Relevance
Articles tagged Relevance
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.
Improve search results by calibrating model scoring in Elasticsearch
Learn how to leverage annotated data to calibrate semantic model scoring for better search results
Query rules retriever: ensuring business rules work seamlessly with semantic search
Harness the power of Elasticsearch query rules combined with semantic search and rerankeras.
Elasticsearch retrievers architecture and use-cases
Elasticsearch retrievers have gone through a significant revamp and are now generally available for all to use. Learn all about their c and use-cases.
Reranking with an Elasticsearch-hosted cross-encoder from Hugging Face
Learn how to use a model from Hugging Face to host and perform semantic-reranking in Elasticsearch.
Elasticsearch Interval queries: why they are true positional queries & 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?
Introducing the concept of semantic reranking. Learn about the trade-offs using semantic reranking in search and RAG pipelines.
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 at Elastic's vector search innovations in Elasticsearch and Lucene.
Elasticsearch query rules are now generally available
Introducing the general availability of query rules
Introducing Learning To Rank (LTR) in Elasticsearch
Discover how Learning To Rank (LTR) can help you to improve your search ranking and how to implement it in Elasticsearch.
