ShapedQL

The SQL engine for search, feeds, and AI agents

About The Product

ShapedQL is the SQL engine for search, feeds, and AI agents. It eliminates the need to piece together tools like Pinecone, Redis, and Python scripts, enabling users to build relevance-powered "For You" feeds, Search, and RAG memory in minutes. By compiling simple SQL into real-time ranking pipelines that retrieve, filter, score, and reorder results based on live user behavior, it replaces thousands of lines of infrastructure with just 30 lines of SQL. With native multi-modal embeddings and automated MLOps, ShapedQL helps build real-time decisions beyond mere document retrieval.

Target Users

Developers building search feeds and AI agents needing SQL-based relevance engines

Pain Points

Gluing multiple tools and writing complex scripts for relevance-based systems.

Key Features

ShapedQL is a SQL engine for relevance, powering 'For You' feeds, Search, and RAG memory in minutes by replacing complex infrastructure with simple SQL.
It compiles SQL into real-time ranking pipelines that retrieve, filter, score, and reorder results based on live user behavior.
Offers native multi-modal embeddings and automated MLOps to build real-time decisions beyond just document retrieval.
Eliminates the need for gluing together tools like Pinecone, Redis, and Python scripts with 30 lines of SQL instead of thousands of lines of infrastructure code.