PII Masker
Protect your sensitive and PII information in RAG with PII Masker and Milvus / Zilliz Cloud
Use this integration for FreeWhat is PII Masker?
PII Masker, developed by HydroX AI in partnership with Zilliz, is an open-source tool designed to detect and mask or replace Personally Identifiable Information (PII) in text data, such as names, addresses, and phone numbers. It’s especially valuable in AI applications like retrieval augmented generation (RAG), where protecting sensitive data, such as customer service chat logs, medical records, and financial documents, is essential.
Why Integrating PII Masker with Milvus/Zilliz Cloud?
While large language models (LLMs) offer powerful capabilities in content creation and data analysis, they can unintentionally expose sensitive Personally Identifiable Information (PII) embedded within training data. This creates a critical need for privacy safeguards in any LLM-powered application that processes user data, such as RAG, where vector databases like Milvus play a key role by storing and providing contextual information for LLMs to generate accurate responses.
When building RAG with PII Masker and Milvus or its managed service, Zilliz Cloud, PII Masker adds a separate layer of security by filtering out or anonymizing PII before data is ingested into Milvus / Zilliz Cloud. This step significantly reduces the risk of exposing sensitive information throughout the entire RAG pipeline. With this synergy, businesses can build high-performance and scalable RAG systems that handle complex, large-scale datasets without compromising privacy.
How to Use PII Masker with Milvus/Zilliz Cloud
Tutorial: Build RAG with Milvus + PII Masker | Milvus Documentation
Milvus GitHub: https://github.com/milvus-io/milvus
PII Masker GitHub: https://github.com/HydroXai/pii-masker-v1