We created a POC vector search application using OpenSearch. In this post, we discuss what we did to get it working as well as investigate how popular search features like sorting, aggregating and filtering can be utilized in vector search.
When it comes to analyzing Solr logs, Solr does have some out of the box tools. However, we’ve found that those tools don’t give a lot of options for creating rich visual analysis, and don’t offer a way to analyze logs in real time. So what do we do? We turn to another open-source platform: Elastic.
New in Solr 9.2! We created a way for the Query Elevation Component to exclude filters. Read about how we did this and what you should know about this new feature.
Learn about our most popular service, where we take a deep dive into what may not be working for your Solr, Elasticsearch, or OpenSearch instance.
Open-source search engines are constantly being updated to add features, improve existing features, and fix vulnerabilities. Here are some more reasons you would want to update accordingly and how we can help.
New in Solr & Lucene 9 is the ability to do inequality operations to search against payloads on terms. We’ll go through this how new feature works using some different use cases.
The KMW team’s contribution to Solr 8.6 is a new Cross Collection Join query method, enabling Solr to support a multi-sharded distributed query for the first time. We’ll tell you all about how it works.
This post will show you precisely how BM25 builds upon TF-IDF, what its parameters do, and why it is so effective.
KMW hosted the Boston Elasticsearch meetup group, and our own Rudi Seitz gave an in-depth talk about how relevancy works in a search engine. In this post learn about when he covered, including: how scoring is computed, query structure and analysis chains, and approaches to tuning relevancy.
Instead of delving into the mathematical definitions of TF-IDF and BM25, we will help you develop an intuitive understanding of these metrics using a series of simple examples.