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It uses **Retrieval-Augmented Generation (RAG)** techniques to assist users with queries based on Amazon FAQs.\n\n---\n\n## 🌐 Access the App\n👉 **To use the app, go to the link:** [Amazon AI-Assisted FAQ Chatbot](https://amazonaiassistedfaq.streamlit.app/)  \n\n---\n\n## 🚀 Implementation Instructions\n\nFollow these steps to run the project locally:\n\n### Requirements  \nInstall the necessary dependencies:  \n```cmd\npip install -r requirements.txt\n```\n###**Suggested to use a virtual environment**\n\n📂 **Code Files**  \napp.py: main python file of the project.  \nstreamlit_code.py: Contains the code for the Streamlit-based UI.  \nhelper_code.py: Implements RAG using LLM, LangChain, embeddings, and the vector database.  \n\n\n🛠 **Tools Used**  \nLLM: Google’s “Gemini-1.5-Flash”  \nEmbeddings: HuggingFace Instructor Embeddings  \nVector Database \u0026 Retrieval: FAISS  \nIntegration: LangChain  \nUI \u0026 Deployment: Streamlit\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fualusham%2Famazon_ai_assisted_faq","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fualusham%2Famazon_ai_assisted_faq","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fualusham%2Famazon_ai_assisted_faq/lists"}