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[
"Data Science - Qdrant"
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[
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[
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[
"Data Science - Qdrant"
] | /tags/data-science/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(5) | [
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] | p | And learn more about Qdrant Cloud in our docs. | [
"tags",
"tags/data-science"
] | 10,208 |
[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(1) | [
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[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(1) | [
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"tags/information-retrieval"
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[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(1) | [
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"tags",
"tags/information-retrieval"
] | 10,211 |
[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(2) | [
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[
"Information Retrieval - Qdrant"
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"tags",
"tags/information-retrieval"
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[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > ul > li:nth-of-type(1) | [
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[
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[
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] | li | Leverage Qdrant features like horizontal scaling and binary quantization with Microsoft Azure’s scalable infrastructure. | [
"tags",
"tags/information-retrieval"
] | 10,216 |
[
"Information Retrieval - Qdrant"
] | /tags/information-retrieval/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(4) | [
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[
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"tags/information-retrieval"
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[
"Information Retrieval - Qdrant"
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[
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[
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"Introducing Qdrant Cloud on Microsoft Azure"
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"blog",
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[
"Introducing Qdrant Cloud on Microsoft Azure - Qdrant",
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] | p | You can now effortlessly set up your environment on Azure, which reduces deployment time, so you can hit the ground running. | [
"blog",
"blog/qdrant-cloud-on-microsoft-azure"
] | 10,224 |
[
"Introducing Qdrant Cloud on Microsoft Azure - Qdrant",
"Introducing Qdrant Cloud on Microsoft Azure"
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[
"Introducing Qdrant Cloud on Microsoft Azure - Qdrant",
"Introducing Qdrant Cloud on Microsoft Azure"
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] | p | And learn more about Qdrant Cloud in our docs. | [
"blog",
"blog/qdrant-cloud-on-microsoft-azure"
] | 10,233 |
[
"Benchmarks - Qdrant"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(1) | [
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] | p | It’s time for an update to Qdrant’s benchmarks! | [
"tags",
"tags/benchmarks"
] | 10,234 |
[
"Benchmarks - Qdrant"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(2) | [
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] | p | We’ve compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis. | [
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"tags/benchmarks"
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[
"Benchmarks - Qdrant"
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"tags/benchmarks"
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[
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"tags",
"tags/benchmarks"
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[
"Benchmarks - Qdrant",
"All engines have improved"
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] | p | This has resulted in significant improvements across all engines. | [
"tags",
"tags/benchmarks"
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[
"Benchmarks - Qdrant",
"All engines have improved"
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"tags",
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] | 10,241 |
[
"Benchmarks - Qdrant",
"All engines have improved"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(4) | [
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"tags",
"tags/benchmarks"
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[
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] | h4 | Introducing a New Dataset | [
"tags",
"tags/benchmarks"
] | 10,243 |
[
"Benchmarks - Qdrant",
"Introducing a New Dataset"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(5) | [
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"tags",
"tags/benchmarks"
] | 10,244 |
[
"Benchmarks - Qdrant"
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] | p | Different applications have distinct requirements when it comes to performance. | [
"tags",
"tags/benchmarks"
] | 10,246 |
[
"Benchmarks - Qdrant",
"Separation of Latency vs RPS Cases"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(7) | [
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] | p | To address this, we have made a clear separation between latency and requests-per-second (RPS) cases. | [
"tags",
"tags/benchmarks"
] | 10,247 |
[
"Benchmarks - Qdrant",
"Separation of Latency vs RPS Cases"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(8) | [
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"tags",
"tags/benchmarks"
] | 10,248 |
[
"Benchmarks - Qdrant",
"Separation of Latency vs RPS Cases"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(8) | [
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"tags",
"tags/benchmarks"
] | 10,249 |
[
"Benchmarks - Qdrant"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > h3:nth-of-type(2) | [
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] | h4 | Our Principles of Benchmarking | [
"tags",
"tags/benchmarks"
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"Benchmarks - Qdrant",
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[
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] | p | We deliberately don’t include libraries or algorithm implementations in our comparisons because our focus is squarely on vector databases. | [
"tags",
"tags/benchmarks"
] | 10,256 |
[
"Benchmarks - Qdrant",
"Our Principles of Benchmarking"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(13) | [
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[
"Benchmarks - Qdrant",
"Our Principles of Benchmarking"
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"tags",
"tags/benchmarks"
] | 10,260 |
[
"Benchmarks - Qdrant",
"Our Principles of Benchmarking"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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] | p | We use the same benchmark datasets as the ann-benchmarks project so you can compare our performance and accuracy against it. | [
"tags",
"tags/benchmarks"
] | 10,261 |
[
"Benchmarks - Qdrant"
] | /tags/benchmarks/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div > div > div:nth-of-type(2) > article > h3:nth-of-type(3) | [
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] | p | If you’re interested in testing the benchmark yourself or want to contribute to its development, head over to our benchmark repository. | [
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"tags/benchmarks"
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[
"Benchmarks - Qdrant",
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] | p | We’ve compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis. | [
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"categories",
"categories/news"
] | 10,268 |
[
"News - Qdrant"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > h3:nth-of-type(1) | [
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[
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"categories",
"categories/news"
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[
"News - Qdrant",
"All engines have improved"
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"categories",
"categories/news"
] | 10,273 |
[
"News - Qdrant",
"All engines have improved"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(4) | [
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"categories",
"categories/news"
] | 10,274 |
[
"News - Qdrant"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > h4:nth-of-type(2) | [
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] | h4 | Introducing a New Dataset | [
"categories",
"categories/news"
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"Introducing a New Dataset"
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"categories",
"categories/news"
] | 10,276 |
[
"News - Qdrant"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > h4:nth-of-type(3) | [
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[
"News - Qdrant",
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[
"News - Qdrant",
"Separation of Latency vs RPS Cases"
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"categories",
"categories/news"
] | 10,279 |
[
"News - Qdrant",
"Separation of Latency vs RPS Cases"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(8) | [
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[
"News - Qdrant",
"Separation of Latency vs RPS Cases"
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[
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] | p | We deliberately don’t include libraries or algorithm implementations in our comparisons because our focus is squarely on vector databases. | [
"categories",
"categories/news"
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[
"News - Qdrant",
"Our Principles of Benchmarking"
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"categories",
"categories/news"
] | 10,292 |
[
"News - Qdrant",
"Our Principles of Benchmarking"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > p:nth-of-type(15) | [
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] | p | We use the same benchmark datasets as the ann-benchmarks project so you can compare our performance and accuracy against it. | [
"categories",
"categories/news"
] | 10,293 |
[
"News - Qdrant"
] | /categories/news/ | html > body > div:nth-of-type(1) > div > section > div > div > div > div > div:nth-of-type(2) > div > div:nth-of-type(1) > div > div:nth-of-type(2) > article > h3:nth-of-type(3) | [
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[
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[
"Performance - Qdrant"
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] | p | We’ve compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis. | [
"tags",
"tags/performance"
] | 10,299 |
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