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README.md

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@@ -40,8 +40,8 @@ A Python based local Retrieval-Augmented Generation (RAG) chatbot that can answe
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2. **Clone the repository and navigate to the project directory**:
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```sh
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git clone https://github.com/enricollen/rag-conversational-agent.git
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cd rag-conversational-agent
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git clone https://github.com/inbravo/rag-bot.git
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cd rag-bot
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```
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3. **Create a virtual environment**:
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6. **Run once the populate_database script to index the pdf files into the vector db:**
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```sh
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python populate_database.py
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python DocUploader.py
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```
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7. **Run the application:**
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```sh
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python app.py
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python FlaskApp.py
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```
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8. **Navigate to `http://localhost:5000/`**

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