More Query Understanding: Brand Detection with LLMs
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business?
Are your users searching for particular brands? Can we use LLMs for brand detection and use this to improve search & drive business?
Query Understanding helps you find out what users actually mean when they search – and LLMs can be used to detect this user intent, relax and even replace queries for better recall
The challenges with compound nouns in search, how to successfully tackle them with decompounding using Query Rewriting and the role of LLMs.
How can generative AI help your customers find the right product by extracting information from reviews?
A step-by-step approach to compare the results of two search systems using human ratings & NDCG
Applying synonyms – isn’t that a solved challenge by now? This post summarizes tools, types and strategies including a glimpse into the AI-powered future
Some queries require a special technique to be improved: the need a redirect to a landing page. Learn how to implement this with Chorus and about types of redirects, pitfalls, …
Should you automatically remove stop words like ‘the’ from your search query or index? Here are 10 reasons you shouldn’t!
How we built a prototype vector search application for e-commerce using Jina AI at the Vector Search Hackday
Improving e-commerce search often starts with being able to actually know what’s going on in your online shop search, and much of this knowledge may be gathered by analyzing…
Building your own e-commerce search with Elasticsearch just got easier In June 2020 the first release of Chorus was announced at Berlin Buzzwords by Eric Pugh, Johannes Peter, René…