Beyond Multimodal Vectors: Hotel Search With Superlinked and Qdrant - Qdrant

This post introduces a multimodal hybrid search approach by combining Superlinked's specialized vector spaces (Text, Number, Logarithmic Scale) with Qdrant's filtering and weighted nearest neighbor search capabilities. It demonstrates how to build a hotel search demo that handles complex natural language queries by translating them into weighted vector operations and hard filters across different data domains. The post highlights the benefits of this approach over single-modal vector search and traditional hybrid search, particularly for scenarios involving diverse data types and nuanced user preferences.