From 4b2ad279920fb43bceb3a983eb0a6ebf5b5b7287 Mon Sep 17 00:00:00 2001 From: ChengZi Date: Thu, 7 Nov 2024 17:29:23 +0800 Subject: [PATCH] optimize PII decription Signed-off-by: ChengZi --- bootcamp/tutorials/integration/RAG_with_pii_and_milvus.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/bootcamp/tutorials/integration/RAG_with_pii_and_milvus.md b/bootcamp/tutorials/integration/RAG_with_pii_and_milvus.md index fa9b6533a..498bcfd93 100644 --- a/bootcamp/tutorials/integration/RAG_with_pii_and_milvus.md +++ b/bootcamp/tutorials/integration/RAG_with_pii_and_milvus.md @@ -4,8 +4,7 @@ PII (Personally Identifiable Information) is a type of sensitive data that can b [PII Masker](https://github.com/HydroXai/pii-masker-v1/tree/main), developed by [HydroX AI](https://www.hydrox.ai/), is an advanced open-source tool designed to protect your sensitive data by leveraging cutting-edge AI models. Whether you're handling customer data, performing data analysis, or ensuring compliance with privacy regulations, PII Masker provides a robust, scalable solution to keep your information secure. -In this tutorial, we will show you how to build a RAG(Retrieval-Augmented Generation) pipeline with Milvus and PII Masker. -This effectively protects PII data. +In this tutorial, we will show how to use PII Masker with Milvus to protect private data in RAG(Retrieval-Augmented Generation) applications. By combining the strengths of PII Masker's data masking capabilities with Milvus's efficient data retrieval, you can create secure, privacy-compliant pipelines for handling sensitive information with confidence. This approach ensures your applications are equipped to meet privacy standards and protect user data effectively. ## Preparation