Siloed Searches: Transforming Queries for Cross-Organization Data Access
![The system architecture preserves data sovereignty through a five-phase workflow across organization-specific vector spaces, and achieves computational isolation of queries via a multi-stage transformation-[latex]vector2Trans[/latex]-employing permutation, cryptographic blinding, a bounded non-linearity [latex]f_{\beta}[/latex], orthogonal rotation [latex]W[/latex], and L2 normalization while retaining retrieval utility.](https://arxiv.org/html/2604.09541v1/Graph/overview.png)
A new approach to Retrieval-Augmented Generation shifts the focus from protecting documents to transforming queries, enabling secure and efficient data sharing between organizations.








