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…
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, or…
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.…
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…
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…
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, or…
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.…
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.…
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…