$π$-RAG: Oblivious Retrieval via Semantic Quantization and Transcendental Addressing for Large Language Models
This paper introduces $π$-RAG, a novel architecture for oblivious retrieval that decouples Large Language Models (LLMs) from sensitive data storage without sacrificing semantic understanding. Traditional Retrieval-Augmented Generation (RAG) architectures expose raw vector embeddings to potential inversion attacks and nondeterministic retrieval failures. To address this, we utilize the digits of $π$ as a source of transcendental entropy, creating an immutable indirection layer between the LLM and private records. The value $π$ provides immutability, is uneditable and math governs it. The architecture also introduces a Semantic Quantization Layer. This layer projects user inputs onto a pre-...
| Authors | Aniket Wattamwar, Mrunal Kakirwar |
|---|---|
| Primary category | cs.CR |
| Published | 20 June 2026 |
| Last updated at source | 20 June 2026 |
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