How OpenTable Reinvented Restaurant Discovery with Qdrant - Qdrant

What this post added

This post details how OpenTable integrated Qdrant into their Concierge AI Dining Assistant. Key technical aspects include the use of sparse embeddings for keyword expansions and fine-grained filtering to achieve high precision in narrowing down search results from a large dataset (over 60,000 restaurants). Qdrant's ability to handle sparse embeddings without HNSW graph quality degradation and its predictable performance for complex, multi-criteria filtering (reviews, metadata, structured data) were crucial for meeting latency targets. Qdrant Cloud simplified deployment.