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README.md

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# Gemini DeepSearch LangGraph Quickstart
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# Gemini Fullstack LangGraph Quickstart
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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.
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The core of the backend is a LangGraph agent defined in `backend/src/agent/graph.py`. It follows these steps:
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![Agent Flow](./deepsearch.png)
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![Agent Flow](./agent.png)
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1. **Generate Initial Queries:** Based on your input, it generates a set of initial search queries using a Gemini model.
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2. **Web Research:** For each query, it uses the Gemini model with the Google Search API to find relevant web pages.
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Run the following command from the **project root directory**:
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```bash
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docker build -t deepsearch -f Dockerfile .
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docker build -t gemini-fullstack-langgraph -f Dockerfile .
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```
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**2. Run the Production Server:**
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docker-compose.yml

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retries: 5
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interval: 5s
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langgraph-api:
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image: deepsearch
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image: gemini-fullstack-langgraph
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ports:
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- "8123:8000"
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depends_on:

frontend/src/components/WelcomeScreen.tsx

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<div className="flex flex-col items-center justify-center text-center px-4 flex-1 w-full max-w-3xl mx-auto gap-4">
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<div>
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<h1 className="text-5xl md:text-6xl font-semibold text-neutral-100 mb-3">
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Welcome to a new Search.
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Welcome.
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</h1>
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<p className="text-xl md:text-2xl text-neutral-400">
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How can I help you today?

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