Not Another Rewatch
Movie recommendations with local semantic search. DynamoDB single-table design, no LLM API calls.
What
A recommender that finds movies near a query film in embedding space, without calling a hosted LLM on every request. The idea was a watch-night helper: type one film you loved, get three you probably have not seen that share its shape.
Approach
Offline pipeline builds sentence-transformer embeddings for a catalog of films and writes them to DynamoDB using a single-table design. A lightweight TypeScript service handles query-time nearest-neighbour lookups. Ranking blends embedding distance with a small boost for genre and era overlap.
Stack
TypeScript, DynamoDB, sentence-transformers (Python for offline indexing), AWS Lambda for the lookup path. The offline indexer and the online query path share no code on purpose.