Category: Basics
Articles tagged Basics

How to migrate data between different versions of Elasticsearch & between clusters
Exploring methods for transferring data between Elasticsearch versions and clusters.

Finding your best music friend with vectors: Spotify Wrapped, part 5
Understanding vectors has never been easier. Handcrafting vectors and figuring out various techniques to find your music friend in a heavily biased dataset.

Detecting relationships in data: Spotify Wrapped, part 4
Graphs are a powerful tool for detecting relationships in data. In this blog, we'll explore the relationships between artists and your music taste.

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.

Anomaly detection population jobs: Spotify Wrapped, part 3
Anomaly detection can be a daunting task at first, but in this blog, we'll dive into it and figure out how the different jobs can help us find unusual patterns in our Spotify Wrapped data.

Elasticsearch autocomplete search
Exploring different approaches to handling autocomplete in Elasticsearch, from basic to advanced, including search as you type, query time, completion suggester, and index time.

Advanced integration tests with real Elasticsearch
Mastering advanced Elasticsearch integration testing: Faster, smarter, and optimized.

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.

How to make your own Spotify Wrapped in Kibana
Based on the downloadable Spotify personal history, we'll make a custom version of "Spotify Wrapped" with the top artists, songs, and trends over the year

Leveraging AutoOps to detect long-running search queries
Learn how AutoOps helps you investigate long-running search queries plaguing your cluster to improve search performance.

Understanding optimized scalar quantization
In this post, we explain a new form of scalar quantization we've developed at Elastic that achieves state-of-the-art accuracy for binary quantization.
