landing_page/qdrant-landing/content/headless/main/why-qdrant.md

title, subtitle, pill, featureCards, sitemapExclude

title	subtitle	pill	featureCards	sitemapExclude
Build for Production-Grade AI Search	Engineered for real-time retrieval with the speed, accuracy, and scale that modern AI demands.	WHY QDRANT?	id title description image link size metadata-filters Expansive Metadata Filters Store metadata in JSON and use advanced filters, such as <code>nested</code>, <code>text</code>, <code>geo</code>, <code>has_vector</code>, and more. src alt /img/home/metadata-filters.png Metadata filters code illustration text url Learn About Metadata Filters /documentation/manage-data/payload/ large id title description image link size hybrid-search Native Hybrid Search (Dense + Sparse) Blend keyword and vector search in one query – use dense or sparse vectors. Supports BM25, SPLADE++, and miniCOIL. src alt /img/home/native-hybrid-search.png Native hybrid search illustration text url Explore Hybrid Search /documentation/search/hybrid-queries/ large id title description image link size multivector Built-in Multivector Set new standards for relevance; make the retrieval layer more expressive, flexible, and multimodal with multiple vectors per object. src alt /img/home/multivector.png Multivector illustration text url See Documentation /documentation/tutorials-search-engineering/using-multivector-representations/ small id title description image link size one-stage-filtering Efficient, One-Stage Filtering Filters are applied during HNSW traversal — no pre- or post-filtering. High recall with low latency, even under complex conditions. src alt /img/home/one-stage-filtering.png One-stage filtering illustration text url See Documentation /articles/filterable-hnsw/ small id title description image link size reranking Full-Spectrum Reranking Infuse business logic with score boosting, achieve token-level precision with late interaction models (e.g. ColBERT), diversify results with Maximum Marginal Relevance (MMR) src alt /img/home/reranking.png Reranking illustration text url See Documentation /documentation/tutorials-search-engineering/reranking-hybrid-search/ small	true