
Traditional search stops at keyword matching, but tools like Vertex AI Search blend semantic understanding, vector retrieval, and grounding to surface context, not just documents. This blog gives a clean breakdown of how it works and why it matters for support systems, knowledge apps, and internal search: Vertex AI Search.
Anyone here experimenting with semantic or RAG-style search on GCP?
