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Update README.md

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- <!-- # FAQ Chatbot Using RAG for Customer Support - Setup Instructions
 
 
 
 
 
 
 
 
 
 
 
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  Follow these steps to set up and run the e-commerce FAQ chatbot, optimized for hardware with 16-19GB RAM and 8-11GB GPU.
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@@ -97,4 +108,4 @@ This implementation includes several optimizations for systems with 16-19GB RAM
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  - The embedding and retrieval components work efficiently even on limited hardware
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  - Response generation speed depends on the model size and available GPU memory
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  - For optimal performance with 8GB GPU, stick with Phi-2 model
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- - For faster responses with less accuracy, use TinyLlama-1.1B -->
 
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+ ---
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+ title: FAQ Chatbot Using RAG
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+ emoji: 💬
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+ colorFrom: blue
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+ colorTo: indigo
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+ sdk: streamlit
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+ sdk_version: "1.30.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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+ # FAQ Chatbot Using RAG for Customer Support - Setup Instructions
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  Follow these steps to set up and run the e-commerce FAQ chatbot, optimized for hardware with 16-19GB RAM and 8-11GB GPU.
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  - The embedding and retrieval components work efficiently even on limited hardware
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  - Response generation speed depends on the model size and available GPU memory
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  - For optimal performance with 8GB GPU, stick with Phi-2 model
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+ - For faster responses with less accuracy, use TinyLlama-1.1B