Constellations

The problem

Ask an AI for movie connections and it will lie to you beautifully.

The web is full of "how is The Matrix connected to Dune?" — and the answers are confident, fluent, and frequently invented. A model with no ground truth will assert a shared actor that doesn't exist, a thematic parallel it can't support, a release date it half-remembers. The connections sound exactly as authoritative whether they're real or hallucinated, and you have no way to tell which is which.

That's fine for a party trick and useless for anything you'd want to trust. The thing missing isn't fluency — models have plenty. It's a footnote: a way to see where a claim came from and decide for yourself whether it holds.

The solution

Every thread carries a citation.

Constellations is a sourced knowledge graph of cinema wearing a navigable cosmos. One hundred and fifty-four cinematic universes orbit as spinning poster-globes; pick one and the rest collapse away while your world blooms — its films circling a glowing sun, its shows on an inner ring, the franchise logo burning at the center. Pull a thread and a ship flies you along the copper line to the next world. Every film and series opens to an original, in-voice write-up: a real synopsis, the crucial scene, grounded production trivia, where it streams right now, and the threads that tie it to everything else.

The point isn't trivia a model made up. Every connection — even an interpretive one — is a sourced, cited, traversable edge. When a card says Neo embodies The Chosen One, a role walked elsewhere by Paul Atreides, Anakin Skywalker, and John Connor, that's an interpretation edge carrying a rationale, a confidence score, and an encyclopedic citation — worn honestly as "a reading," never dressed up as fact. Anyone can ask an AI for parallels and get confident fiction; Constellations hands one back with a footnote.

It runs on the same spine as the rest of this workshop: facts in code, judgment in the model. This is retrieval-augmented generation grounded in a knowledge graph — GraphRAG, where the "retrieval" is graph traversal over a Kuzu graph database rather than a fuzzy vector search, so every fact handed to the model is exact and citable. Graph traversal, the read-only safety gate, and the lineage trace are pure Python and authoritative. The model is reserved for the two things code can't do — turning a question into a precise graph query (Cypher), and turning a cited payload into prose.