When Zero Search Results is the right answer (& how to measure this in Quepid)
Sometimes a query should produce zero search results – but how do we score this correctly in Quepid, the search relevance workbench?
New Quepid Features
New Quepid features include improved user interfaces, APIs and the ability to work with any search backend, plus new metrics including Jaccard similarity
Learning to Measure AI-Powered Search with Vectara
How we worked with AI-based search and retrieval augmented generation platform Vectara to evaluate and measure their engine – and added it to Quepid!
Pete establishes a Baseline Relevance Metric
On his continuing quest to build superior e-commerce search, Pete the Product Owner establishes a baseline relevance metric
How to succeed with explicit relevance evaluation using Probability-Proportional-to-Size sampling
How to use PPTS sampling to choose queries to reflect the actual needs of your users when carrying out explicit relevance evaluation.
And Then There Were Three – OpenSearch comes of age
OpenSearch joins Elasticsearch and Apache Solr as a serious option for powering search – but why is it different and how might the rise of vector search change the…
How to make Quepid talk to your .NET Search API
By Atita Arora (OpenSource Connections), Bego Terzimustafic & Mark Johnson (Emerson Ecologics) In the e-commerce business, there are several factors directly or indirectly affecting your success. A smooth UI…
How can a search team gain more control of search?
Several conversations with clients I’ve had recently have made me think about the issue of control when it comes to search quality improvement: specifically, how much control a search…
Introducing the Show Only Rated toggle in Quepid
Introducing the Show Only Rated feature in Quepid, the relevancy tuning workbench