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

What this post added

This post introduces a novel application of Qdrant for hotel search by integrating it with the Superlinked framework. It details the concept of 'Spaces' within Superlinked for creating specialized vector embeddings for different data types (text, numerical with logarithmic/linear scaling, categorical). The post explains how these diverse embeddings are indexed in Qdrant and queried using natural language, which Superlinked translates into weighted nearest neighbor searches and hard filters. It showcases a multimodal hybrid search approach that combines text, numerical, and categorical filtering for nuanced results, moving beyond traditional keyword/vector hybrid search.