Knowledge Graph (KG) Development
Business Challenges
The emerging era of Generative AI (GenAI) brings forth new challenges in ensuring the reliability and grounding of AI-generated content. A significant issue with GenAI, particularly with Large Language Models (LLMs), is their propensity for “hallucination” – producing outputs that sound plausible but lack grounding in factual reality. This poses risks, especially in critical applications where accuracy is paramount. Knowledge Graphs (KGs) are essential in this context as they can provide the much-needed grounding and traceability for AI, forming a foundation for responsible, reliable, and traceable AI in the AI-transformation era.
Business Challenges
The emerging era of Generative AI (GenAI) brings forth new challenges in ensuring the reliability and grounding of AI-generated content. A significant issue with GenAI, particularly with Large Language Models (LLMs), is their propensity for “hallucination” – producing outputs that sound plausible but lack grounding in factual reality. This poses risks, especially in critical applications where accuracy is paramount. Knowledge Graphs (KGs) are essential in this context as they can provide the much-needed grounding and traceability for AI, forming a foundation for responsible, reliable, and traceable AI in the AI-transformation era.
Service Offering
We address these challenges with our Knowledge Graph Development services.
Why Us
Our strengths in Knowledge Graph Development are.
Graph Technology Pioneers in Thailand
Recognized as leaders in graph technology, offering unparalleled regional expertise.
AI-Ready Analytics Team
Combining AI capabilities with graph technology expertise to tackle complex analytical challenges, allowing for the creation of robust, insight-driven solution.
Dedicated Focus on Graph Technology
