ShapedQL – A SQL engine for multi-stage ranking and RAG

Show HN: ShapedQL – A SQL engine for multi-stage ranking and RAG

Operating in show hn launch, ShapedQL – A SQL engine for multi-stage ranking and RAG operates.

Profile

Hi HN,I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning.We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem.To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic and reranking.We built an engine that consolidates this into a single SQL dialect. It compiles declarative quer

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Website: playground.shaped.ai