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RAG

The Key to Solving Challenges in Manufacturing

Manufacturing Challenge 1：
Too many work reports, hard to search

How RAG Helps

What the system can do

Supports multiple formats

Controls output generation using templates and rules, delivering consistent and stable results.

Cloud integration

Unifies internal and external knowledge bases and always reflects the latest information.

High-precision search

Achieves accurate semantic search using vector databases and embedding models.

Manufacturing Challenge 2：
The Same Tasks Are Repeated Over and Over

How RAG Helps

Reliability and accuracy of the RAG system

Template Utilization

Strict control of output structure: Define template-based formats to ensure business-ready results and eliminate irrelevant responses.

Operational Efficiency

Knowledge base grounding: Retrieve the latest and most accurate data from external knowledge bases to prevent AI hallucinations.

Unified Content

Cross-source data integration: Consolidate data from different systems and formats to ensure consistency across reports.

FAQ

What is RAG?

RAG (Retrieval-Augmented Generation) is a technology that enables AI to generate answers by searching and referencing existing data such as internal documents. By combining generative AI with reliable information sources, it significantly improves accuracy and trustworthiness.

How is it different from a standard AI chatbot?

Traditional chatbots often rely on FAQ-based or simple search mechanisms. RAG chatbots can instantly search across vast documents and provide answers in natural language. They also ensure transparency by presenting sources.

What file formats are supported?

In addition to major business documents such as docx, xlsx, pptx, pdf, csv, and text, it also supports text extraction from images.

Is security ensured?

Customer data is stored completely separately, with access control and encryption implemented. Even when integrated with the cloud, the risk of information leakage is minimized.

What benefits can be expected after implementation?

You can reduce information search time by over 50% and formalize and transfer the know-how of experienced workers. In addition, automatic report generation greatly reduces administrative work.

Can it be used in other industries?

Yes. It can be applied not only to manufacturing but also to any field where document management and knowledge sharing are challenges, such as healthcare, finance, education, and logistics.