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[
"Performance - Qdrant"
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/tags/performance/
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p
|
Let’s get into what’s new and what remains the same in our approach.
|
[
"tags",
"tags/performance"
] | 10,300 |
[
"Performance - Qdrant"
] |
/tags/performance/
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h3
|
What’s Changed?
|
[
"tags",
"tags/performance"
] | 10,301 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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 > h4:nth-of-type(1)
|
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h4
|
All engines have improved
|
[
"tags",
"tags/performance"
] | 10,302 |
[
"Performance - Qdrant",
"All engines have improved"
] |
/tags/performance/
|
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(3)
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p
|
Since the last time we ran our benchmarks, we received a bunch of suggestions on how to run other engines more efficiently, and we applied them.
|
[
"tags",
"tags/performance"
] | 10,303 |
[
"Performance - Qdrant",
"All engines have improved"
] |
/tags/performance/
|
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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p
|
This has resulted in significant improvements across all engines.
|
[
"tags",
"tags/performance"
] | 10,304 |
[
"Performance - Qdrant",
"All engines have improved"
] |
/tags/performance/
|
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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p
|
As a result, we have achieved an impressive improvement of nearly four times in certain cases.
|
[
"tags",
"tags/performance"
] | 10,305 |
[
"Performance - Qdrant",
"All engines have improved"
] |
/tags/performance/
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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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p
|
You can view the previous benchmark results here.
|
[
"tags",
"tags/performance"
] | 10,306 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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 > h4:nth-of-type(2)
|
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] |
h4
|
Introducing a New Dataset
|
[
"tags",
"tags/performance"
] | 10,307 |
[
"Performance - Qdrant",
"Introducing a New Dataset"
] |
/tags/performance/
|
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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p
|
To ensure our benchmark aligns with the requirements of serving RAG applications at scale, the current most common use-case of vector databases, we have introduced a new dataset consisting of 1 million OpenAI embeddings.
|
[
"tags",
"tags/performance"
] | 10,308 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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 > h4:nth-of-type(3)
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h4
|
Separation of Latency vs RPS Cases
|
[
"tags",
"tags/performance"
] | 10,309 |
[
"Performance - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/performance/
|
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
|
Different applications have distinct requirements when it comes to performance.
|
[
"tags",
"tags/performance"
] | 10,310 |
[
"Performance - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/performance/
|
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/performance"
] | 10,311 |
[
"Performance - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/performance/
|
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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p
|
For example, a self-driving car’s object recognition system aims to process requests as quickly as possible, while a web server focuses on serving multiple clients simultaneously.
|
[
"tags",
"tags/performance"
] | 10,312 |
[
"Performance - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/performance/
|
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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p
|
By simulating both scenarios and allowing configurations for 1 or 100 parallel readers, our benchmark provides a more accurate evaluation of search engine performance.
|
[
"tags",
"tags/performance"
] | 10,313 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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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] |
h3
|
What Hasn’t Changed?
|
[
"tags",
"tags/performance"
] | 10,314 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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 > h4:nth-of-type(4)
|
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h4
|
Our Principles of Benchmarking
|
[
"tags",
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[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(10)
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p
|
At Qdrant all code stays open-source.
|
[
"tags",
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[
"Performance - Qdrant",
"Our Principles of Benchmarking"
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/tags/performance/
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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(10)
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p
|
We ensure our benchmarks are accessible for everyone, allowing you to run them on your own hardware.
|
[
"tags",
"tags/performance"
] | 10,317 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
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/tags/performance/
|
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(10)
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p
|
Your input matters to us, and contributions and sharing of best practices are welcome!
|
[
"tags",
"tags/performance"
] | 10,318 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(11)
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p
|
Our benchmarks are strictly limited to open-source solutions, ensuring hardware parity and avoiding biases from external cloud components.
|
[
"tags",
"tags/performance"
] | 10,319 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(12)
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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/performance"
] | 10,320 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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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p
|
Why?
|
[
"tags",
"tags/performance"
] | 10,321 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(14)
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p
|
Because libraries like FAISS, while useful for experiments, don’t fully address the complexities of real-world production environments.
|
[
"tags",
"tags/performance"
] | 10,322 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(14)
|
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p
|
They lack features like real-time updates, CRUD operations, high availability, scalability, and concurrent access – essentials in production scenarios.
|
[
"tags",
"tags/performance"
] | 10,323 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
|
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(14)
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p
|
A vector search engine is not only its indexing algorithm, but its overall performance in production.
|
[
"tags",
"tags/performance"
] | 10,324 |
[
"Performance - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/performance/
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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/performance"
] | 10,325 |
[
"Performance - Qdrant"
] |
/tags/performance/
|
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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h3
|
Detailed Report and Access
|
[
"tags",
"tags/performance"
] | 10,326 |
[
"Performance - Qdrant",
"Detailed Report and Access"
] |
/tags/performance/
|
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(16)
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p
|
For an in-depth look at our latest benchmark results, we invite you to read the detailed report.
|
[
"tags",
"tags/performance"
] | 10,327 |
[
"Performance - Qdrant",
"Detailed Report and Access"
] |
/tags/performance/
|
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(17)
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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.
|
[
"tags",
"tags/performance"
] | 10,328 |
[
"Performance - Qdrant",
"Detailed Report and Access"
] |
/tags/performance/
|
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(17)
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p
|
We appreciate your support and involvement in improving the performance of vector databases.
|
[
"tags",
"tags/performance"
] | 10,329 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
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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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] |
p
|
It’s time for an update to Qdrant’s benchmarks!
|
[
"tags",
"tags/qdrant"
] | 10,330 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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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p
|
We’ve compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis.
|
[
"tags",
"tags/qdrant"
] | 10,331 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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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p
|
Let’s get into what’s new and what remains the same in our approach.
|
[
"tags",
"tags/qdrant"
] | 10,332 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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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h3
|
What’s Changed?
|
[
"tags",
"tags/qdrant"
] | 10,333 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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(1)
|
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] |
h4
|
All engines have improved
|
[
"tags",
"tags/qdrant"
] | 10,334 |
[
"Qdrant - Qdrant",
"All engines have improved"
] |
/tags/qdrant/
|
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(3)
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p
|
Since the last time we ran our benchmarks, we received a bunch of suggestions on how to run other engines more efficiently, and we applied them.
|
[
"tags",
"tags/qdrant"
] | 10,335 |
[
"Qdrant - Qdrant",
"All engines have improved"
] |
/tags/qdrant/
|
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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p
|
This has resulted in significant improvements across all engines.
|
[
"tags",
"tags/qdrant"
] | 10,336 |
[
"Qdrant - Qdrant",
"All engines have improved"
] |
/tags/qdrant/
|
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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p
|
As a result, we have achieved an impressive improvement of nearly four times in certain cases.
|
[
"tags",
"tags/qdrant"
] | 10,337 |
[
"Qdrant - Qdrant",
"All engines have improved"
] |
/tags/qdrant/
|
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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p
|
You can view the previous benchmark results here.
|
[
"tags",
"tags/qdrant"
] | 10,338 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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
|
[
"tags",
"tags/qdrant"
] | 10,339 |
[
"Qdrant - Qdrant",
"Introducing a New Dataset"
] |
/tags/qdrant/
|
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
|
To ensure our benchmark aligns with the requirements of serving RAG applications at scale, the current most common use-case of vector databases, we have introduced a new dataset consisting of 1 million OpenAI embeddings.
|
[
"tags",
"tags/qdrant"
] | 10,340 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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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h4
|
Separation of Latency vs RPS Cases
|
[
"tags",
"tags/qdrant"
] | 10,341 |
[
"Qdrant - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/qdrant/
|
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(7)
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p
|
Different applications have distinct requirements when it comes to performance.
|
[
"tags",
"tags/qdrant"
] | 10,342 |
[
"Qdrant - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/qdrant/
|
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(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/qdrant"
] | 10,343 |
[
"Qdrant - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/qdrant/
|
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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p
|
For example, a self-driving car’s object recognition system aims to process requests as quickly as possible, while a web server focuses on serving multiple clients simultaneously.
|
[
"tags",
"tags/qdrant"
] | 10,344 |
[
"Qdrant - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/tags/qdrant/
|
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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p
|
By simulating both scenarios and allowing configurations for 1 or 100 parallel readers, our benchmark provides a more accurate evaluation of search engine performance.
|
[
"tags",
"tags/qdrant"
] | 10,345 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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(2)
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] |
h3
|
What Hasn’t Changed?
|
[
"tags",
"tags/qdrant"
] | 10,346 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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(4)
|
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h4
|
Our Principles of Benchmarking
|
[
"tags",
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[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(10)
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p
|
At Qdrant all code stays open-source.
|
[
"tags",
"tags/qdrant"
] | 10,348 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(10)
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p
|
We ensure our benchmarks are accessible for everyone, allowing you to run them on your own hardware.
|
[
"tags",
"tags/qdrant"
] | 10,349 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(10)
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p
|
Your input matters to us, and contributions and sharing of best practices are welcome!
|
[
"tags",
"tags/qdrant"
] | 10,350 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(11)
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p
|
Our benchmarks are strictly limited to open-source solutions, ensuring hardware parity and avoiding biases from external cloud components.
|
[
"tags",
"tags/qdrant"
] | 10,351 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(12)
|
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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/qdrant"
] | 10,352 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(13)
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p
|
Why?
|
[
"tags",
"tags/qdrant"
] | 10,353 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(14)
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p
|
Because libraries like FAISS, while useful for experiments, don’t fully address the complexities of real-world production environments.
|
[
"tags",
"tags/qdrant"
] | 10,354 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(14)
|
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p
|
They lack features like real-time updates, CRUD operations, high availability, scalability, and concurrent access – essentials in production scenarios.
|
[
"tags",
"tags/qdrant"
] | 10,355 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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(14)
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p
|
A vector search engine is not only its indexing algorithm, but its overall performance in production.
|
[
"tags",
"tags/qdrant"
] | 10,356 |
[
"Qdrant - Qdrant",
"Our Principles of Benchmarking"
] |
/tags/qdrant/
|
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.
|
[
"tags",
"tags/qdrant"
] | 10,357 |
[
"Qdrant - Qdrant"
] |
/tags/qdrant/
|
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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] |
h3
|
Detailed Report and Access
|
[
"tags",
"tags/qdrant"
] | 10,358 |
[
"Qdrant - Qdrant",
"Detailed Report and Access"
] |
/tags/qdrant/
|
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(16)
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p
|
For an in-depth look at our latest benchmark results, we invite you to read the detailed report.
|
[
"tags",
"tags/qdrant"
] | 10,359 |
[
"Qdrant - Qdrant",
"Detailed Report and Access"
] |
/tags/qdrant/
|
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(17)
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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.
|
[
"tags",
"tags/qdrant"
] | 10,360 |
[
"Qdrant - Qdrant",
"Detailed Report and Access"
] |
/tags/qdrant/
|
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(17)
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p
|
We appreciate your support and involvement in improving the performance of vector databases.
|
[
"tags",
"tags/qdrant"
] | 10,361 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(1) > h1
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h1
|
Qdrant Updated Benchmarks 2024
|
[
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[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Qdrant Updated Benchmarks 2024"
] |
/blog/qdrant-benchmarks-2024/
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html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(1)
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p
|
It’s time for an update to Qdrant’s benchmarks!
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,363 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Qdrant Updated Benchmarks 2024"
] |
/blog/qdrant-benchmarks-2024/
|
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p
|
We’ve compared how Qdrant performs against the other vector search engines to give you a thorough performance analysis.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,364 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Qdrant Updated Benchmarks 2024"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(2)
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p
|
Let’s get into what’s new and what remains the same in our approach.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,365 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h3:nth-of-type(1)
|
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h3
|
What’s Changed?
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,366 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h4:nth-of-type(1)
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h4
|
All engines have improved
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,367 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"All engines have improved"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(3)
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p
|
Since the last time we ran our benchmarks, we received a bunch of suggestions on how to run other engines more efficiently, and we applied them.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,368 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"All engines have improved"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(4)
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p
|
This has resulted in significant improvements across all engines.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,369 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"All engines have improved"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(4)
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p
|
As a result, we have achieved an impressive improvement of nearly four times in certain cases.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,370 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"All engines have improved"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(4)
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p
|
You can view the previous benchmark results here.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,371 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h4:nth-of-type(2)
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h4
|
Introducing a New Dataset
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,372 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Introducing a New Dataset"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(5)
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p
|
To ensure our benchmark aligns with the requirements of serving RAG applications at scale, the current most common use-case of vector databases, we have introduced a new dataset consisting of 1 million OpenAI embeddings.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,373 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h4:nth-of-type(3)
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h4
|
Separation of Latency vs RPS Cases
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,374 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(7)
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p
|
Different applications have distinct requirements when it comes to performance.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,375 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > 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.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,376 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(8)
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p
|
For example, a self-driving car’s object recognition system aims to process requests as quickly as possible, while a web server focuses on serving multiple clients simultaneously.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,377 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Separation of Latency vs RPS Cases"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(8)
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p
|
By simulating both scenarios and allowing configurations for 1 or 100 parallel readers, our benchmark provides a more accurate evaluation of search engine performance.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,378 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h3:nth-of-type(2)
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h3
|
What Hasn’t Changed?
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,379 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h4:nth-of-type(4)
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h4
|
Our Principles of Benchmarking
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,380 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(10)
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p
|
At Qdrant all code stays open-source.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,381 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(10)
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p
|
We ensure our benchmarks are accessible for everyone, allowing you to run them on your own hardware.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,382 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(10)
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p
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Your input matters to us, and contributions and sharing of best practices are welcome!
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,383 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(11)
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p
|
Our benchmarks are strictly limited to open-source solutions, ensuring hardware parity and avoiding biases from external cloud components.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,384 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(12)
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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.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,385 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(13)
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p
|
Why?
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,386 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14)
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p
|
Because libraries like FAISS, while useful for experiments, don’t fully address the complexities of real-world production environments.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,387 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14)
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p
|
They lack features like real-time updates, CRUD operations, high availability, scalability, and concurrent access – essentials in production scenarios.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,388 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(14)
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p
|
A vector search engine is not only its indexing algorithm, but its overall performance in production.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,389 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Our Principles of Benchmarking"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > 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.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,390 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > h3:nth-of-type(3)
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h3
|
Detailed Report and Access
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,391 |
[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Detailed Report and Access"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(16)
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p
|
For an in-depth look at our latest benchmark results, we invite you to read the detailed report.
|
[
"blog",
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[
"Qdrant Updated Benchmarks 2024 - Qdrant",
"Detailed Report and Access"
] |
/blog/qdrant-benchmarks-2024/
|
html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17)
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|
If you’re interested in testing the benchmark yourself or want to contribute to its development, head over to our benchmark repository.
|
[
"blog",
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[
"Qdrant Updated Benchmarks 2024 - Qdrant",
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] |
/blog/qdrant-benchmarks-2024/
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html > body > div:nth-of-type(1) > div > article > div:nth-of-type(2) > div:nth-of-type(3) > div > p:nth-of-type(17)
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p
|
We appreciate your support and involvement in improving the performance of vector databases.
|
[
"blog",
"blog/qdrant-benchmarks-2024"
] | 10,394 |
[
"Blog - Qdrant"
] |
/tags/blog/
|
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 > h2
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h2
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Navigating challenges and innovations in search technologies
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[
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[
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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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p
|
We participated in a podcast on search technologies, specifically with retrieval-augmented generation (RAG) in language models.
|
[
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[
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p
|
RAG is a cutting-edge approach in natural language processing (NLP).
|
[
"tags",
"tags/blog"
] | 10,397 |
[
"Blog - Qdrant",
"Navigating challenges and innovations in search technologies"
] |
/tags/blog/
|
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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0.06764820963144302,
0.14024817943572998,
0.0834788978099823,
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] |
p
|
It uses information retrieval and language generation models.
|
[
"tags",
"tags/blog"
] | 10,398 |
[
"Blog - Qdrant",
"Navigating challenges and innovations in search technologies"
] |
/tags/blog/
|
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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p
|
We describe how it can enhance what AI can do to understand, retrieve, and generate human-like text.
|
[
"tags",
"tags/blog"
] | 10,399 |
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