rename stuff

README.md

@@ -1,4 +1,4 @@
-# Gemini DeepSearch LangGraph Quickstart
+# Gemini Fullstack LangGraph Quickstart
 
 This project demonstrates a fullstack application using a React frontend and a LangGraph-powered backend agent. The agent is designed to perform comprehensive research on a user's query by dynamically generating search terms, querying the web using Google Search, reflecting on the results to identify knowledge gaps, and iteratively refining its search until it can provide a well-supported answer with citations. This application serves as an example of building research-augmented conversational AI using LangGraph and Google's Gemini models.
 
@@ -63,7 +63,7 @@ _Alternatively, you can run the backend and frontend development servers separat
 
 The core of the backend is a LangGraph agent defined in `backend/src/agent/graph.py`. It follows these steps:
 
-![Agent Flow](./deepsearch.png)
+![Agent Flow](./agent.png)
 
 1.  **Generate Initial Queries:** Based on your input, it generates a set of initial search queries using a Gemini model.
 2.  **Web Research:** For each query, it uses the Gemini model with the Google Search API to find relevant web pages.
@@ -83,7 +83,7 @@ _Note: If you are not running the docker-compose.yml example or exposing the bac
 
    Run the following command from the **project root directory**:
    ```bash
-   docker build -t deepsearch -f Dockerfile .
+   docker build -t gemini-fullstack-langgraph -f Dockerfile .
    ```
 **2. Run the Production Server:**
 

docker-compose.yml

@@ -26,7 +26,7 @@ services:
       retries: 5
       interval: 5s
   langgraph-api:
-    image: deepsearch
+    image: gemini-fullstack-langgraph
     ports:
       - "8123:8000"
     depends_on:

frontend/src/components/WelcomeScreen.tsx

@@ -18,7 +18,7 @@ export const WelcomeScreen: React.FC<WelcomeScreenProps> = ({
   <div className="flex flex-col items-center justify-center text-center px-4 flex-1 w-full max-w-3xl mx-auto gap-4">
     <div>
       <h1 className="text-5xl md:text-6xl font-semibold text-neutral-100 mb-3">
-        Welcome to a new Search.
+        Welcome.
       </h1>
       <p className="text-xl md:text-2xl text-neutral-400">
         How can I help you today?