mirror of
https://github.com/qdrant/landing_page.git
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GeorgeandAndrey Vasnetsov
faad182279
* new: add filtered search bench draft * new: update filtered search benchmark post * new: render article * refactoring: add newlines * new: add filtered search bench file structure, add chart * fix: fix plot preselect * fix: fix canvas id * debug: debug js * debug: add benchmark filter search script to header * fix: fix filter search plot selection * new: update benchmark data * refactoring: remove commented code * fix: fix bench data * new: fix labels order * new: sort dataset labels * new: add some text * fix: fix descriptions * debug: fix mapping not allowed yaml parsing error * new: update bench data * fix: fix dataset name * new: update bench data * fix: fix qdrant kw small vocab * text for the articles * upd text * fix: fix typos * new: replace bars with scatter plots * fix: fix method calls * debug: add initializer * fix: replace debug const with variable * new: remove data based split, remain only one plot * fix: remove geo data for milvus * new: remove range data for weaviate * new: remove int 2048 for milvus, as it crashes at the moment * upd graphs * link --------- Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com>
21 lines
900 B
Markdown
21 lines
900 B
Markdown
---
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title: Vector Database Benchmarks
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description: The first comparative benchmark and benchmarking framework for vector search engines and vector databases.
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keywords:
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- vector databases comparative benchmark
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- ANN Benchmark
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- Qdrant vs Milvus
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- Qdrant vs Weaviate
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- Qdrant vs Redis
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- Qdrant vs ElasticSearch
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- benchmark
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- performance
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- latency
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- RPS
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- comparison
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- vector search
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- embedding
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preview_image: /benchmarks/benchmark-1.png
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seo_schema: { "@context": "https://schema.org", "@type": "Article", "headline": "Vector Search Comparative Benchmarks", "image": [ "https://qdrant.tech/benchmarks/benchmark-1.png" ], "abstract": "The first comparative benchmark and benchmarking framework for vector search engines", "datePublished": "2022-08-23", "dateModified": "2022-08-23", "author": [{ "@type": "Organization", "name": "Qdrant", "url": "https://qdrant.tech" }] }
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