FAQs and troubleshooting
This page provides comprehensive FAQs and troubleshooting tips for KDB.AI. Find answers to common questions and step-by-step solutions to resolve issues, helping you get the most out of KDB.AI.
FAQs
General
Q: What is KDB.AI?
A: KDB.AI is a high-performance vector database designed for efficient data storage, retrieval, and analysis.
Q: How do I get started with KDB.AI?
A: The quickstart guide in the Get started section provides step-by-step instructions on setting up and using KDB.AI.
Q: What are the system requirements for KDB.AI?
A: KDB.AI requires a modern operating system (Windows, macOS, or Linux), at least 8GB of RAM, and a multi-core processor for optimal performance.
Q: How do I access KX Support for KDB.AI?
A: Email Support on support@kdb.ai or join our Slack community.
Q: What kind of vector indexes are supported?
A: KDB.AI Server supports Flat, qFlat, IVF, IVFPQ, HSNW, and qHSNW indexes. Read about indexes and how to use indexes in KDB.AI.
Q: What kind of data types are supported?
A: KDB.AI supports the data types listed here.
Q: I've been testing out other platforms, can I migrate my data to KDB.AI?
A: Yes! You can transfer/migrate your data over to KDB.AI. Join our Slack channel or contact Support at support@kdb.ai for detailed instructions on how to do this.
KDB.AI Cloud
Q: What should I do if I am approaching the memory limit?
A: To prevent going over your memory limit and your instance entering into a not running state, it is recommended to delete any unused data by using the drop table command.
Q: Why is my memory usage not 0 when I log in to KDB.AI Cloud for the first time?
A: A baseline amount of memory is required for running the KDB.AI container. The memory display assists you in seeing how close you are to the usage limit.
Q: How much data can KDB.AI Cloud process?
A: KDB.AI Cloud Starter Edition offers the following:
- Storage - 30GB
- RAM - 4GB
- Query size - 10MB
When inserting data, it is recommended to keep the size under 10 MB. You can split large insertions into batches, or chunks, as this can also improve the query performance.
Troubleshooting
Problem: My database says it's not running. What should I do?
Solution: If you are experiencing an issue with your database, please email our Support Team on support@kdb.ai or ask our Slack community.