Vector Search

New to embeddings, LLMs, and vector databases? Start from first principles and end up understanding how modern AI systems search for meaning, not just keywords — with a working Python example.

Bolting a separate vector database onto your operational store creates two schemas, two consistency models, and two failure domains. See why Cassandra keeps it all in one system.

Not all AI databases are created equal. See how Cassandra runs vector + metadata search in a single query, at scale.