Google Cloud announced Vertex AI grounding, a technique to make generative AI models more reliable and less prone to hallucinations. It connects large language models (LLMs) to trusted sources of information, allowing them to access up-to-date data and internal company knowledge. This innovative approach addresses the limitations of traditional LLMs, such as lack of access to fresh information, the tendency to hallucinate, and the inability to attribute sources. By integrating Google Search, Vertex AI grounding can access the latest information from the internet, providing source links for fact-checking. Additionally, businesses can connect their proprietary data with Vertex AI grounding, allowing models to leverage their internal information. Vertex AI offers a comprehensive set of options for RAG, including out-of-the-box solutions, APIs to build custom RAG systems, and high-performant vector search capabilities. These features help businesses enhance customer service, automate tasks, gain deeper insights, and drive innovation. Vertex AI also provides a generative AI evaluation service, enabling businesses to assess the performance of their AI models against their own criteria. Overall, Vertex AI grounding represents a significant advancement in generative AI, empowering businesses to harness the power of AI while ensuring reliability and accuracy. This paves the way for real-world AI applications and tangible business impact.