I'm pretty sure you're replying to a comment which itself was supposed to be a parody. The "focusing on bureaucratic compliance first & foremost" seems to be something of a tell.
Really interesting approach to the RAG noise problem. The atomic swap via shadow tables is a clever way to handle the migration.
One edge case I’m curious about is how the system handles modal logic or intent vs. fact. If a user says 'I live in Texas' and then 'I wish I lived in Florida,' a regex-heavy approach might struggle to differentiate between current state and aspiration.
In a 'neuroplastic' database, how do you handle schema deprecation or 'forgetting' when the foundational patterns drift (e.g., a user moves cities or changes a diet)? Do you have a mechanism for the schema to 'de-evolve' or merge back into a generic table if a specific entity's mention-frequency drops below a certain threshold?
The "corners of the internet" have felt increasingly opaque and cobwebby in this age of maximal indexing and centralization.
Projects like this are a super cool way to recapture some of that old time magic.