VectorDBBench
StanfordQuadruped
| VectorDBBench | StanfordQuadruped | |
|---|---|---|
| 16 | 3 | |
| 408 | 1,431 | |
| 10.0% | 0.8% | |
| 8.5 | 0.0 | |
| 6 days ago | 22 days ago | |
| Python | Python | |
| MIT License | MIT License |
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VectorDBBench
- FLaNK-AIM Weekly 06 May 2024
- GPU index supports in Vector Database benchmark latest version
- Benchmarking Tool for Vector DBs
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Vespa.ai is spinning out of Yahoo as a separate company
We conducted benchmark tests on Elastic's queries per second (QPS) performance using datasets of 500,000 and 1 million vectors. Result was Zilliz is 13x and 22x faster, per number of vectors respectively. https://zilliz.com/blog/elasticsearch-cloud-vs-zilliz
Feel free to explore our open-source benchmarking tool, which allows you to examine our methodology and even compare it with your vector database. https://github.com/zilliztech/VectorDBBench
- Vector Database benchmark with 1536/768 dim data
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Vector Dataset benchmark with 1536/768 dim data
"
the link is: https://github.com/zilliztech/VectorDBBench/issues/200#issue...
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Comparison of Vector Databases
Interesting graphic, bland and unvoiced conclusion
You're also missing a lot of details. For example, Milvus and Zilliz are actually a little different, check this out for more details: https://github.com/zilliztech/VectorDBBench (of course run it on your own stuff, don't blindly trust companies just because their product is open source)
Also if you want to throw some more comparisons in their checkout elastic search
- VectorDB benchmark for both cloud and open source
- Cloud Vector Database Benchmark Result
- FLaNK Stack Weekly for 20 June 2023
StanfordQuadruped
- FLaNK Stack Weekly for 20 June 2023
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Trying to make Sandford Pupper v1
I just pulled up the cad. The robot is open source so there is a good amount of documentation. The leg design is the same as most quadruped robots use 3 revolute joints. While the pupper does have a 4 bar linkage for the knee, I'm fairly certain that the link lengths mean its just a parallelogram. This leg design is simple enough that your unlikely to find a research paper covering it. Here is the code where they do the kinematics: https://github.com/stanfordroboticsclub/StanfordQuadruped/blob/master/pupper/Kinematics.py
- First robotics project (Quadraped) how to start?
What are some alternatives?
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fastjson2 - 🚄 FASTJSON2 is a Java JSON library with excellent performance.
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