Zero-trust for RAG is such an important topic—making sure embeddings and retrieved context can't leak sensitive data is where things get tricky.
Interesting approach. We've seen many teams focus heavily on retrieval quality and prompt engineering while overlooking retrieval governance and authorization controls. The idea of performing authorization before retrieval is particularly important for enterprise AI systems handling sensitive data. Curious whether you've tested the framework with multi-tenant RAG environments where document access policies vary across tenants.
Lara Laurielle
scaling my tech stack daily
Makes sense. A RAG system is only as trustworthy as the data and steps feeding into it.