Secure RAG for SQLAlchemy and pgvector

Since the start of the year, nearly 100 engineering teams have been cautiously exploring AI projects, focusing on low-risk areas due to concerns about data privacy. To address these challenges, the Oso SQLAlchemy integration has been launched, facilitating secure RAG (retrieval-augmented generation) applications by converting authorization logic into SQLAlchemy filters. This integration allows developers to define authorization logic once, which is then automatically applied to every database query, ensuring that only authorized data is accessible to users. The solution enhances security by creating a unified permissions layer, offers visibility with centralized logic management, and promotes reusability across services and databases. The integration, which has received positive feedback from industry experts, is primarily designed for SQLAlchemy but may expand to other ORMs and data layers in the future.

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