bayesian_limit

3 ms·

1. 1.▲
   by bayesian_limit 3y ago

   I also noticed, from same contributors, this repo with goal of enabling import/export of vector datasets, that can be migrated from one vectorDB vendor to another. The in-common format vectordb data can be stored/shared on Huggin
2. 2.▲
   by bayesian_limit 3y ago

   I could not help but notice the Contriever curve is so much higher on y-axis Recall than the other methods (figure 11 in https://arxiv.org/pdf/2307.03172.pdf ). Has anyone come across more recent experiments, results, o
3. 3.▲
   by bayesian_limit 3y ago

   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&
4. 4.▲
   by bayesian_limit 3y ago

   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
5. 5.▲
   by bayesian_limit 3y ago

   Zilliz just published an article comparing QPS (queries per second) with pg vector vs. Milvus. The results are clear - Milvus, a database designed ground-up for handling vector indexes, outperformed in terms of speed and latency. Dive into