AI Secretary for Equipment Product Service, 2025

1) Secure On-Premise Knowledge Base.
2) Natural Language Search with LLM + RAG.
3) Enhanced User Convenience (Log Analysis, etc.) within Internal Network.

Overview

An AI-powered assistant designed to support hardware and software services for semiconductor equipment. To ensure high security, the system operates entirely within an internal network, eliminating the need for external internet access for sensitive data.

Key Features

Secure Environment

• Built to run on an internal network (On-Premise) to strictly protect confidential HW/SW service information.
• No leakage of sensitive data to public AI services.

Natural Language Interaction (LLM + RAG)

• Users can search for technical information using natural language.
• Retrieves accurate answers from the internal knowledge base using Retrieval-Augmented Generation (RAG).

Maintenance Efficiency

• Automates log analysis and simplifies troubleshooting steps.
• Designed to assist engineers in quickly finding solutions and understanding complex system states.

Status

• Continuous Improvement: The project is currently active and evolving, with ongoing updates to improve accuracy and expand features.

• Developer: Taeung Ha
• Status: In Development / Continuous Improvement
• Technologies used: LLM (Local/Private), RAG, Python, Vector DB