Hybrid Search Revamped - Building with Qdrant's Query API

Qdrant 1.10's new Query API revolutionizes the process of building hybrid search systems by allowing users to combine various search methods directly on the server side, eliminating the need for additional services. This update introduces capabilities for creating complex search pipelines, including nested multistage queries, and supports multi-vector representations, which enhance retrieval quality by capturing text nuances. The API facilitates the fusion and reranking approaches, enabling efficient and flexible search experiences that can be tailored to specific use cases using standard evaluation metrics like precision@k and NDCG. The system can handle both sparse and dense vectors, offering options such as Matryoshka embeddings and late interaction models, while the Query API's versatility empowers users to experiment with different setups for optimal results. By integrating these advanced features, Qdrant aims to provide scalable and robust search solutions, as illustrated in their recent webinar on constructing hybrid search systems.