fix: added a link to the full stack sample and fixed a typo (#504)

fix: added a link to the full stack sample and fixed a typo

Co-authored-by: Lavi Nigam <[email protected]>

Author: kazunori279

docs/grounding/google_search_grounding.md

@@ -13,6 +13,10 @@ In this guide, you'll discover:
 - **Response Structure**: How to interpret grounded responses and their metadata
 - **Best Practices**: Guidelines for displaying search results and citations to users
 
+### Additional resource
+
+As an additional resource, [Gemini Fullstack Agent Development Kit (ADK) Quickstart](https://github.com/google/adk-samples/tree/main/python/agents/gemini-fullstack) has [a great practical use of the Google Search grounding](https://github.com/google/adk-samples/blob/main/python/agents/gemini-fullstack/app/agent.py) as a full stack application example.
+
 ## Google Search Grounding Quickstart
 
 This quickstart guides you through creating an ADK agent with Google Search grounding feature. This quickstart assumes a local IDE (VS Code or PyCharm, etc.) with Python 3.9+ and terminal access.

docs/grounding/vertex_ai_search_grounding.md

@@ -19,7 +19,7 @@ This quickstart guides you through creating an ADK agent with Vertex AI Search g
 
 ### 1. Prepare Vertex AI Search
 
-If you already have a Vertex AI Search Data Store and its Data Store ID, you can skip this section. If not, follow the instruction in the [Get started with custom search](https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search#unstructured-data) until the end of [Create a data store](https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search#create_a_data_store), with selecting the `Unstructured data` tab. With this instruction, you will build a sample Data Store with earning report PDFs from the [Alphabet invector site](https://abc.xyz/).
+If you already have a Vertex AI Search Data Store and its Data Store ID, you can skip this section. If not, follow the instruction in the [Get started with custom search](https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search#unstructured-data) until the end of [Create a data store](https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search#create_a_data_store), with selecting the `Unstructured data` tab. With this instruction, you will build a sample Data Store with earning report PDFs from the [Alphabet investor site](https://abc.xyz/).
 
 After finishing the Create a data store section, open the [Data Stores](https://console.cloud.google.com/gen-app-builder/data-stores/) and select the data store you created, and find the `Data store ID`: