Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases
A new research paper proposes a vision for Policy-aware Vector Search, aiming to enhance fine-grained access control in vector databases. The paper highlights the challenges in implementing such controls due to the nature of vector databases, which combine structured and unstructured data for semantic search. It formalizes the problem of enforcing access control policies while maintaining search recall and low latency, identifying key areas for future research. AI
IMPACT Enhances security for AI pipelines and RAG systems by addressing access control in vector databases.