Building Vector Search in Chorus: A Technical Deep Dive
How we built vector search in Chorus, the open source reference platform for e-commerce search, the challenges and solutions
How we built vector search in Chorus, the open source reference platform for e-commerce search, the challenges and solutions
What’s next after search relevance? We think there are more factors affecting search result quality – here’s how we’ll be exploring them.
Atita Arora shows how e-commerce search with vectors can return more relevant products – even with vocabulary mismatches and misspellings!
A search migration project can be risky – how can you identify & mitigate those risks with measurement, a great team and expert help?
How we utilized a variant of BM25 for sparse vector scoring and combined it with cosine similarity between dense vectors to achieve a hybrid ranking algorithm with better search performance than either technique alone, validated at TREC 2021
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, …
What are the options for training a search team? With news of a brand new training option from OSC
Find out how Hyperparameter Optimization helps you figure out the best values to use for classical search rankers
Here’s 5 reasons why you should remove stop words from your search index
Should you automatically remove stop words like ‘the’ from your search query or index? Here are 10 reasons you shouldn’t!
On his continuing quest to build superior e-commerce search, Pete the Product Owner establishes a baseline relevance metric
A guest post from the Metarank team write on field boosts, Learning to Boost and Learning to Rank