Free Lesson
How to choose a vector database
60 min
Aug 10, 2026 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
How to make sense of vector pricing calculators
Validating their output against your real corpus, domain, and usage patterns
Linking features to outcomes
Learn what the APIs give users, and what the docs leave out
What everyone forgets to factor in when choosing a vector db
Integrating with existing search systems, Leveraging AWS credits and factoring in data growth + updates
Why this topic matters
Choosing a vector database is an expensive, sticky decision often made using feature lists and generic benchmarks. Teams commit, load their real corpus, then discover costs far above budget. By then, pipelines, schemas, and queries depend on the vendor. Measure first, and you enter procurement with your own numbers—ready to evaluate vendors instead of being sold to.
