January 22, 2025
Engineering a new Kibana dashboard layout to support collapsible sections & more
Building collapsible dashboard sections in Kibana required overhauling an embeddable system and creating a custom layout engine. These updates improve state management, hierarchy, and performance while setting the stage for new advanced dashboard features.
January 21, 2025
High Quality RAG with Aryn DocPrep, DocParse and Elasticsearch vector database
Learn how to achieve high-quality RAG with effective data preparation using Aryn.ai DocParse, DocPrep, and Elasticsearch vector database.
January 20, 2025
Navigating graphs for Retrieval-Augmented Generation using Elasticsearch
Discover how to use Knowledge Graphs to enhance RAG results while storing the graph efficiently in Elasticsearch. This guide explores a detailed strategy for dynamically generating knowledge subgraphs tailored to a user’s query.
January 17, 2025
How to ingest data to Elasticsearch through Apache Airflow
Learn how to ingest data to Elasticsearch through Apache Airflow.
January 16, 2025
Jira connector tutorial part II: 6 optimization tips
After connecting Jira to Elasticsearch, we'll now review best practices to escalate this deployment.
January 15, 2025
Jira connector tutorial part I
Indexing our Jira content into Elasticsearch to create a unified data source and do search with Document Level Security.
January 14, 2025
How to create your own Spotify Wrapped in Kibana
Based on the downloadable Spotify personal history, we'll generate a custom version of "Wrapped" with the top artists, songs, and trends over the year
January 13, 2025
Ice, Ice, Maybe: Measuring Searchable Snapshots Performance
Learn how Elastic’s searchable snapshots enable the frozen tier to perform on par with the hot tier, demonstrating latency consistency and reducing costs.
January 10, 2025
Filtering in ES|QL using full text search
8.17 included match and qstr functions in ES|QL, that 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.