Vector Search can deliver context-aware results, but performance issues often surface as you move closer to production. The early decisions you make about sizing, indexes, and system deployment can lead to latency, memory pressure, and inconsistent query performance later on.

In this session, you’ll learn how vector search latency and memory behavior work in MongoDB, how to size and monitor deployments so you can spot risk signals early, and how to tune indexes, queries, and deployment configuration to troubleshoot and remediate performance issues.

You’ll leave with a clearer way to:

• Connect common symptoms to the performance decisions that cause them.
• Identify latency and memory signals before they affect search performance.
• Apply sizing and monitoring practices to your Vector Search deployment.
• Tune indexes, queries, and configuration with greater confidence.