Planning

There are several planning considerations when using vector search. Astra DB makes it easy with the following capabilities:

Vector Search requires scale. A typical measurement is ten times the scale at one-third of the cost. Astra DB is a serverless database, making scaling up easy.
Astra DB balances the need for faster search by using more connections to offset longer compaction times and less effective caching.
Cache settings are applied per hnsw index segment. Hierarchical Navigable Small World (HNSW) graphs are among the top-performing indexes for vector similarity search.