SAI matches whole values, not fragments. Split titles and cast names into words at load time, index the words, and serve fragment search for 1,000 real movies from a small Python FastAPI app.
Ten weekly posts that build one AI movie app, cMovie, from scratch on Apache Cassandra 5.0 - SAI filtering, vector search and a RAG assistant, one working part at a time.
Cassandra only answers queries on the primary key until you index the other columns. See how Storage Attached Indexes lift that restriction, using 1,000 real films.
Connect Bob IDE to Astra DB via MCP and create collections, insert records, and run bulk updates through plain English, zero code required.
Connect Claude to your DB via MCP and watch it create collections, insert records, and run bulk updates through plain English, zero code required.
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.