@[Barry] Thanks Barry, glad you like the concept!
Right now, the core interactive engine natively models the Pinecone Serverless billing structure. Specifically, it separates raw storage costs from "Read Units" (which at $8.25 per 1M is where most startups get burned financially without realizing it).
To handle different databases, the tool currently features a market comparison matrix at the bottom, mapping how those same loads translate to alternatives like Milvus (Compute Units) and Qdrant algorithms.
I'm actually actively looking to add native dynamic toggles (drop-downs) for Milvus and Qdrant natively in the math engine for the next update. What Vector DB are you currently using for your stack?
