Carlos Delgado
Principal Software Engineer I
Carlos is a software engineer on the Search team, where he plans and delivers new search features for the Elastic Stack. He has been working on software development for the past 20+ years, both in development and software architecture related roles. Before Elastic, Carlos worked in the travel industry and consulting for telco and public sector. In his spare time, he likes to practice martial arts, running, and hiking.
Hybrid search and multistage retrieval in ES|QL
Explore the multistage retrieval capabilities of ES|QL, using FORK and FUSE commands to integrate hybrid search with semantic reranking and native LLM completions.
Vector search filtering: Keep it relevant
Performing vector search to find the most similar results to a query is not enough. Filtering is often needed to narrow down search results. This article explains how filtering works for vector search in Elasticsearch and Apache Lucene.
Filtering in ES|QL using full text search
MATCH, QSTR, and KQL functions in ES|QL can be used to perform full text filtering. This article describes what they do, how they can be used, the difference with the existing text filtering methods, current limitations and future improvements.
Elasticsearch new semantic_text mapping: Simplifying semantic search
Learn how to use the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch.
How to choose between exact and approximate kNN search in Elasticsearch
Learn more about exact and approximate kNN search in Elasticsearch, and when to use each one.
