In the era of digital transformation, effective knowledge management is essential for maintaining a competitive edge. While traditional Knowledge Management Systems (KMS) and RAG (Retrieval-Augmented Generation) aim for the same goal, their approaches differ significantly.

1. Information Access Approach

• Traditional KMS: Relies on static data structures, categorizing documents into folders or keywords. Users must know the exact location or keyword to find content.
• RAG: Allows natural language queries, with AI analyzing and synthesizing answers from multiple sources.

2. Accuracy and Updates

• Traditional KMS: Dependent on manual updates, which can lead to outdated information.
• RAG: Retrieves the latest data from internal repositories and provides cited sources for transparency.

3. User Experience

• Traditional KMS: Requires search skills and time to filter relevant information.
• RAG: Users simply ask a question and get direct, fast responses.

4. Scalability

• Traditional KMS: Challenging to scale with large, diverse datasets.
• RAG: Handles multiple data formats (text, images, videos) and scales easily to meet growing needs.

As a pioneering AI Company in Vietnam, NKKTech Global has successfully implemented RAG for numerous businesses, significantly boosting efficiency and outperforming traditional knowledge management methods.

Contact: contact@nkk.com.vn | Website: https://nkk.com.vn