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title, weight
| title | weight |
|---|---|
| Database Optimization | 3 |
Database Optimization Strategies
How do I reduce memory usage?
Quantization retains the original vector, but you can reduce the memory usage. Read more about leveraging the Quantization feature.
How do I tune search accuracy while controlling for memory usage?
Accuracy tuning tips show you how to adjust quantile parameters and rescoring. Get some helpful tips here
How do I measure memory requirements?
Read more about the minimal RAM required to serve vectors with Qdrant. Read more about Memory Consumption.
How do I optimize speed search while retaining low memory use?
Use Vector Quantization or disable rescoring. Both will reduce disk reads. Read more about optimizing Qdrant.
How do I avoid issues when updating to the latest version?
We only guarantee compatibility if you update between consequent versions. You would need to upgrade versions one at a time 1.1 -> 1.2 then 1.2 -> 1.3 then 1.3 -> 1.4.
Do you guarantee compatibility across versions?
In case your version is older, we guarantee only compatibility between two consecutive minor versions. While we will assist with break/fix troubleshooting of issues and errors specific to our products, Qdrant is not accountable for reviewing, writing (or rewriting), or debugging custom code.
My database fails and memory usage is high.
Measuring memory consumption with htop or other tools won't provide accurate numbers. Test by limiting memory instead and see when it fails.