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generative model, providing answers grounded in accurate, business-specific information.\n\n- This architecture allows it to handle complex queries that require contextual understanding and up-to-date, reliable answers, making it highly suitable for business support, client queries, and decision-making tasks.\n\n### Features\n\n- **Information Retrieval:** Pulls data from a structured source (like a database) or unstructured documents, ensuring answers are fact-based and relevant.\n\n- **Scalable Knowledge Base:** Easily incorporates additional documents, FAQs, or datasets, which makes it adaptable to growing or changing business knowledge.\n\n- **History Management:** Keeps track of chat history, Dashboard provides all of previous interactions.\n\n- **User Authentication:** Allows authenticated sessions, restricting access to sensitive business information only to verified users.\n\n- **Real-time Querying:** Answers questions promptly, suitable for client support or internal team assistance, reducing response time for queries.\n\n### Installation\n\n#### Frontend\n\n```\nnpm install\n```\n```\nnpm run dev\n```\n\n#### Backend\n\n```\ncd backend \u0026\u0026 python -m venv venv\n```\n```\nsource venv/Scripts/activate\n```\n```\npip install -r requirements.txt\n```\n```\npython app.py\n```\n\n### Login Credentials\n\nUsername: \u003ctest@bizrag.com\u003e\nPassword: 123456\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujeethshingade%2Fbizrag-bot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsujeethshingade%2Fbizrag-bot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsujeethshingade%2Fbizrag-bot/lists"}