How GlassDollar improved high-recall sourcing by migrating from Elasticsearch to Qdrant

GlassDollar, a platform that assists enterprises in discovering and partnering with innovative startups, improved its high-recall sourcing capabilities by migrating from Elasticsearch to Qdrant. Initially, GlassDollar used Elasticsearch with OpenAI embeddings for its vector search needs, but as the platform grew to encompass millions of company documents, retrieval became a bottleneck, necessitating a shift to a system that prioritized recall over speed. The migration to Qdrant allowed for faster retrieval, better handling of query expansion, and a 40% reduction in infrastructure costs. This transition not only improved the quality of search results by aligning user intent with company descriptions through contextual chunking, but also increased user engagement, as evidenced by a threefold increase in the bookmarking of companies. GlassDollar's focus remains on enhancing accuracy through continuous improvements in query expansion and reranking models to ensure that the platform effectively matches corporate needs with innovative startup solutions.

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