April 3, 2025
Generating filters and facets using ML
Exploring the pros and cons of automating the creation of filters and facets in a search experience using ML models vs the classical hard-coded approach.
March 27, 2025
How to automate synonyms and upload using our Synonyms API
Discover how LLMs can be used to identify and generate synonyms automatically, allowing terms to be programmatically loaded into the Elasticsearch synonym API.
March 20, 2025
Scaling late interaction models in Elasticsearch - part 2
This article explores techniques for making late interaction vectors ready for large-scale production workloads, such as reducing disk space usage and improving computation efficiency.
March 18, 2025
Searching complex documents with ColPali - part 1
The article introduces the ColPali model, a late-interaction model that simplifies the process of searching complex documents with images and tables, and discusses its implementation in Elasticsearch.
March 12, 2025
Unifying Elastic vector database and LLM functions for intelligent query
Leverage LLM functions for query parsing and Elasticsearch search templates to translate complex user requests into structured, schema-based searches for highly accurate results.
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.