If you are like most ecommerce teams, your on-site search is treated like plumbing. As long as it returns something and does not crash, it quietly stays off the roadmap.
Yet that small box at the top of your site is one of the highest intent, highest margin levers you have.
In today’s data-driven world, efficient search is critical. Traditional keyword search falls short when understanding context and user intent. Semantic search solves this problem by understanding meanings rather than just matching words.
In this tutorial, I’ll guide you through setting up Elasticsearch with the Elastic Learned Sparse EncodeR (ELSER) model for powerful semantic search capabilities. ELSER is Elastic’s specialized ML model that creates sparse vector representations to efficiently capture semantic meaning while maintaining computational performance.
