Alexander Dávila
Engineering, Consulting
Consulting Engineer with over 7 years of experience working with data, specializing in search and data pipelines with proven experience in technologies like Elasticsearch, Python, SQL, PySpark, Linux and more.
Comparing dense vector search performance with the Profile API in Elasticsearch
Learn how to use the Profile API in Elasticsearch to compare dense vector configurations and tune kNN performance with visual data from Kibana.
Training LTR models in Elasticsearch with judgement lists based on user behavior data
Learn how to use UBI data to create judgment lists to automate the training of your Learning to Rank (LTR) models in Elasticsearch.
Elasticsearch plugin for UBI: Analyze user data in Kibana
Discover how to capture user behavior data using the Elasticsearch plugin for UBI and build a custom dashboard in Kibana to analyze it.
Understanding chunking strategies in Elasticsearch
Learn the fundamentals of document chunking in Elasticsearch, compare different chunking strategies, and discover how your chunking choices impact search quality and relevance.
RAG with a map: Multimodal + geospatial in Elasticsearch
Combining multimodal RAG capabilities with core Elasticsearch features such as geospatial queries and lexical search.
Using UBI in Elasticsearch: Creating an app with UBI and search-ui
Learn how to use UBI in Elasticsearch through a practical example. We’ll be creating an application that produces UBI events on search and click results.
Unveiling unique patterns: A guide to significant terms aggregation in Elasticsearch
Learn how to use the significant terms aggregation to discover insights in your data.
3 ingestion tips to change your search game forever
Get your Elasticsearch ingestion game to the next level by following these tips: data pre-processing, data enrichment and picking the right field types.