RAG, Graphs, and Grounding: Making Al Explainable and Trustworthy

Exploration of how combining Retrieval-Augmented Generation (RAG), knowledge graphs, and grounding techniques can enhance the transparency and reliability of AI systems. It shows how RAG pulls verifiable external knowledge, while graphs provide structured context, and grounding ties responses back to trusted sources. These methods offer a robust foundation for building AI users can understand, verify, and trust.