Case Study: GlassDollar boosts recall, cuts costs, and triples engagement with Qdrant

GlassDollar reduces infrastructure costs by 40% with Qdrant

GlassDollar, a platform that connects enterprises with innovative startups, faced significant search and retrieval bottlenecks as its dataset grew. Using Elasticsearch with OpenAI embeddings, the company struggled with performance and complexity, which hindered scaling and compromised the high-recall sourcing needed for accurate results.

By migrating to Qdrant's vector search database, GlassDollar improved retrieval speed and quality, enabling more effective query expansion. This solution reduced infrastructure costs by approximately 40% and tripled user engagement, as measured by a 3x increase in bookmarks, while also simplifying their system architecture.

GlassDollar