As artificial intelligence (AI) continues to evolve rapidly, large language models (LLMs) like GPT, Claude, or Gemini have become widely adopted. However, one of their main limitations remains: they can’t access real-time or dynamic knowledge, and may generate inaccurate or outdated responses (also known as hallucinations). To overcome this challenge, a powerful technique called Retrieval-Augmented Generation (RAG) has emerged.
So, what is RAG, and why are so many AI companies integrating it into their systems? Let’s explore the answer with insights from NKKTech Global.
What is Retrieval-Augmented Generation (RAG)?
RAG is an AI architecture that combines retrieval-based models with generative models.
Instead of relying solely on the knowledge stored in the AI’s training data, a RAG-based system is designed to:
- Retrieve relevant information from external sources (e.g., company documents, databases, websites)
- Generate natural language responses based on the retrieved information
As a result, the system can provide more accurate, up-to-date, and context-aware answers.
Why RAG Matters in Modern AI
RAG solves many of the key issues in traditional LLMs:
| Challenge with traditional LLMs | How RAG solves it |
|---|---|
| Outdated, static knowledge | Retrieves real-time, fresh data |
| Inaccurate or hallucinated answers | Uses reliable sources for response |
| Not enterprise-specific | Pulls from custom company knowledge |
That’s why leading AI companies around the world are adopting RAG to enhance their chatbots, virtual assistants, enterprise search engines, and customer support tools.
NKKTech Global’s Approach to RAG
As a forward-thinking AI company in Vietnam, NKKTech Global is actively developing RAG-based AI solutions to help businesses:
- Build intelligent chatbots trained on internal documents, manuals, and product knowledge
- Create smart semantic search tools that understand user intent, not just keywords
- Integrate AI into CRM, ERP, and HR systems to automate responses and improve internal support
We believe RAG is a key enabler for enterprise-grade AI applications.
Conclusion
Retrieval-Augmented Generation (RAG) is not just a trend — it’s a game-changing approach that allows AI to move beyond generic responses and deliver precise, reliable, and business-specific intelligence.
If you’re looking for an experienced AI company in Vietnam to help you implement RAG technology, contact NKKTech Global today. We bring cutting-edge AI to real-world enterprise applications.
