gujun720

7 ms·

1.
by gujun720 5y ago
I'd like to hear any feedback from who has tried this out.
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Zilliz raises $43M in Series B funding(techcrunch.com)
3 points by gujun720 6y ago|0 comments
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by gujun720 6y ago
It will be helpful, if the author could compare the performance of WASM back end. Will it be better than Model runtime with HTTP support?
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Milvus Joins LF AI as New Incubation Project(lfai.foundation)
31 points by gujun720 6y ago|9 comments
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by gujun720 7y ago
Good points. I want to add one more. I think the Ann benchmark should pay more attention on 1. The index building speed, as this is very important in some production scenarios. Now it only says I will give 5 hours to build the index on that
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by gujun720 7y ago
It's not about the ML platform. It's about the ML scenarios. If you want to search thru a huge amount of unstructured data after vectorization tech (like deep learning), Milvus will help you a lot. Our users use Milvus in below sc
7.
by gujun720 7y ago
200 GB is the size of original vectors. When creating index, Milvus supports IVF SQ8 and IVF PQ ADC. Based on our users experience, SQ8 is the most balanced one at this moment. SQ8 provides 8x compression, higher accuracy and better perform
8.
by gujun720 7y ago
Milvus could run on arm CPU. We ported it to Nvidia Jetson NANO and Raspberry PI 4 (4GB mem) so far. Most people told us running Milvus on arm looked cool but they were not sure if they want to do this... Please tell us your requirements an
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by gujun720 7y ago
Correct, new vectors will first be searched thru brute force until the index is created on that file slice.
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by gujun720 7y ago
Please check https://medium.com/@milvusio/managing-data-in-massive-scale-... It explains how Milvus managing vectors.
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by gujun720 7y ago
We are working on this feature which allows use to perform hyper search (attributes plus feature vectors). And you can code your scoring rules. Again, hopefully be ready by the end of 1Q this year.
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by gujun720 7y ago
We have some test reports in https://github.com/milvus-io/milvus/tree/master/tests At this moment, the IVF indecies are based on FAISS. So the performance is the same as Faiss. IVF_SQ8H is the reconstruc
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by gujun720 7y ago
You may check our Medium site. We will post more tech details. https://medium.com/@milvusio
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by gujun720 7y ago
Milvus allows users to append vectors. Vectors are stored in multiple file slices. When a file slice reaches the threshold, Milvus will build the index for that file slice, and new data will be inserted into a new file slice. For details, p