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Tag Archive for databasevector-databasemilvus

In version 2.4.0, there are occasional inconsistencies in query results

After building the vector library in version 2.4.0, we sliced the data and then performed queries later on. We found that querying the same issue sometimes yields different results, and occasionally, the results are not the expected answers. How should we troubleshoot this situation? The collection is standalone, and no operations were performed on it.

Using RAM from multiple nodes in cluster

I have with 10 million embeddings which are 1536 dims long. I’m fairly confident this means I need less than 128 GB of memory. I’m running Milvus using EKS on AWS and have 2 m6i.4xlarge machines which have 64 GB of memory each, meaning I should have plenty of memory.