Files
landing_page/qdrant-landing/content/documentation/search-patterns/_index.md
T
2026-09-09 22:44:31 -04:00

1.1 KiB
Raw Blame History

title, short_description, description, partition, learning_kind, weight, hideTOC, breadcrumb, aliases, guide_icon, content
title short_description description partition learning_kind weight hideTOC breadcrumb aliases guide_icon content
Search Patterns Choose embedding models, plan query decomposition, and apply payload filters to build search around your data and application needs. Design Qdrant search around your application by choosing embedding models, decomposing multi-hop queries, and filtering results with payload indexes. learn guides 115 true false
/documentation/search-design/
/icons/outline/vectors-blue.svg
partial title description linkDescription cloudButton localButton
documentation/banners/banner-a Search Patterns Choose how your search system represents data, handles questions, and narrows results. Choose the pattern that fits your application’s search needs.
text url
Choose an Embedding Model /documentation/search-patterns/choose-embedding-model/
text url
Plan Your Filters /documentation/search-patterns/vector-search-filtering/
partial section
documentation/guides/guide-cards /documentation/search-patterns/