In this talk, I'll showcase how Google's Vertex AI Embeddings API can simplify grounding large language models (LLMs) using Vector Search. We'll explore how the API helps generate high-quality embeddings for unstructured data, making it easier to query, retrieve, and match relevant information in real time. By combining embeddings with vector search, we can enhance the performance and relevance of LLMs in a variety of AI applications. Attendees will gain practical insights into building smarter, more efficient AI models.