March 6, 2025
Semantic search, leveled up: now with native match, knn and sparse_vector support
Semantic text search becomes even more powerful, with native support for match, knn and sparse_vector queries. This allows us to keep the simplicity of the semantic query while offering the flexibility of the Elasticsearch query DSL.
March 5, 2025
How to build autocomplete feature on search application automatically using LLM generated terms
Learn how to enhance your search application with an automated autocomplete feature in Elastic cloud using LLM-generated terms for smarter, more dynamic suggestions.
February 24, 2025
Understanding sparse vector embeddings with trained ML models
Learn about sparse vector embeddings, understand what they do/mean, and how to implement semantic search with them.
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.
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
December 19, 2024
Ensuring business rules work seamlessly with semantic search
Harness the power of query rules combined with semantic search and rerankers.
November 14, 2024
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.
November 4, 2024
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.
November 1, 2024
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.