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* initial commit; fixed anchor links on internal docs pages * add back in absolute paths for links in code comments * fix: update linkchecker include filter to match server port 1314 PR #1629 changed the Hugo server to port 1314 but forgot to update the --include filter, which still matched port 1313. This caused all links to be excluded, making the checker a no-op (0 checked, 82277 excluded). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix url rewrite regex so images are not impacted * Fix links from non-documentation pages * Fix broken links * more broken links * more broken links * broken link * Add srcset width descriptor to .lycheeignore * Ignore URLs that contain a % character * Anchor regex so it matches the entire URL --------- Co-authored-by: kanungle <neil.kanungo@gmail.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
44 lines
1.9 KiB
Markdown
44 lines
1.9 KiB
Markdown
---
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title: Search with Qdrant
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description: Qdrant enhances search, offering semantic, similarity, multimodal, and hybrid search capabilities for accurate, user-centric results, serving applications in different industries like e-commerce to healthcare.
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features:
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- id: 0
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icon:
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src: /icons/outline/similarity-blue.svg
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alt: Similarity
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title: Semantic Search
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description: Qdrant optimizes similarity search, identifying the closest database items to any query vector for applications like recommendation systems, RAG and image retrieval, enhancing accuracy and user experience.
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link:
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text: Learn More
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url: /documentation/search/search/
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- id: 1
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icon:
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src: /icons/outline/search-text-blue.svg
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alt: Search text
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title: Hybrid Search for Text
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description: By combining dense vector embeddings with sparse vectors e.g. BM25, Qdrant powers semantic search to deliver context-aware results, transcending traditional keyword search by understanding the deeper meaning of data.
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link:
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text: Learn More
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url: /documentation/beginner-tutorials/hybrid-search-fastembed/
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- id: 2
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icon:
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src: /icons/outline/selection-blue.svg
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alt: Selection
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title: Multimodal Search
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description: Qdrant's capability extends to multi-modal search, indexing and retrieving various data forms (text, images, audio) once vectorized, facilitating a comprehensive search experience.
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link:
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text: View Tutorial
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url: /documentation/tutorials/multimodal-search-fastembed/
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- id: 3
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icon:
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src: /icons/outline/filter-blue.svg
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alt: Filter
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title: Single Stage filtering That Works
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description: Qdrant enhances search speeds and control and context understanding through filtering on any nested entry in our payload. Unique architecture allows Qdrant to avoid expensive pre-filtering and post-filtering stages, making search faster and accurate.
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link:
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text: Learn More
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url: /articles/filterable-hnsw/
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sitemapExclude: true
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---
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