Search relevancy and content discovery across multi-language search with OpenSearch for a leading learning experience platform
Client
The client is a global provider of AI-powered learning experience solutions, serving enterprise and public sector organizations. Their platform supports multilingual learning content and delivers personalized experiences to users across web and mobile environments.
Project Context
The client had deployed OpenSearch and needed to improve search relevance and content delivery across countries, while supporting 14 languages and meeting Canadian compliance requirements.
Challenges
The existing search lacked language support and relevance.
Users struggled with content discovery due to non-contextual search results.
French support and latency optimization were crucial across 5 regions.
Solution
Evaluated 20 custom plugins to enable multilingual search.
Developed a scoring methodology using 30 attributes to fine-tune search relevance.
Built a strategy for hydrating historical content with translations.
Optimized query performance to deliver results in milliseconds.
Project Objectives
Improve search relevancy and content discovery across 14 languages.
Comply with regional regulations like French language requirements in Canada.
Support search across 300 GB of content.
Solution Delivery
SquareShift improved the multilingual search stack by implementing custom plugins, developing scoring and tuning mechanisms, and hydrating older content to match the modern search stack. The result was fast, relevant content discovery in multiple languages.
Testimonial
Thanks to SquareShift’s OpenSearch implementation, our multilingual content is now more discoverable, relevant, and performant across geographies.