Vertex AI's Grounding with Google Search: how to use it and why
Once in a while, you come across a feature that is so easy to use and so useful that you don’t know how you lived without it before. For me, Vertex AI’s Grounding with Google Search is one of those features.
In this blog post, I explain why you need grounding with large language models (LLMs) and how Vertex AI’s Grounding with Google Search can help with minimal effort on your part.
Grounding LLMs is essential to go around these limitations and build more reliable and trustworthy generative AI applications.
In this blog post, I focus on Grounding with Google Search that allows LLMs to ground their responses on trusted Google Search world knowledge and public facts. This helps to improve hallucinations and provide more up-to-data to LLMs.
First, let’s look at some examples without grounding. Let’s ask a text-based model on Vertex AI some questions that require recent data.
