René Kriegler

If your team is struggling to balance business rule demands, modern vector workflows, and AI-powered evaluation, you are not alone. Across the search industry, production systems are being forced to evolve into multi-consumer environments serving human and agentic searchers.

This presentation will delve into Moody’s transformative journey in search architecture, showcasing a significant shift from traditional servers running legacy SOLR software to a cloud-native AWS OpenSearch framework. The transition not only addresses the need for high availability and scalability but also marks a departure from the conventional monolithic relevance system, Lucidworks, towards custom designed in-house AWS serverless relevance...

We at OpenSource Connections started ‘Haystack - The Search Relevance Conference’ back in 2018. In his keynote, “The keystone”, our then CTO, Doug Turnbull, laid out the importance of a search relevance community that is based on the principles of openness and knowledge sharing.

We make great efforts to avoid returning an empty search result list to our users. Badly handled zero results queries not only provide a bad user experience but they can also impact our business negatively.

More than other domains, e-commerce search depends on implicit user feedback to optimise search result ranking as buying decision criteria such as ‘an attractive price’ and ‘brand sympathy’ are very hard to make explicit. On the other hand, this decision making can be observed implicitly in web tracking.