Nexus - Q&A Chatbot

Nexus is an AI-powered chatbot designed to answer questions about Vanshaj Raghuvanshi. It uses FAISS for efficient vector search and Retrieval-Augmented Generation (RAG) with Hugging Face embeddings and Groq's LLM models.

🚀 Features

• Retrieval-Augmented Generation (RAG) for accurate Q&A
• FAISS Vector Database for efficient similarity search
• Customizable API Keys (Use your own or default keys)
• Multiple Embeddings & LLM Models to choose from
• Streamlit UI for easy interaction

🛠️ Setup Instructions

1️⃣ Install Dependencies

Ensure you have Python installed, then install the required packages:

pip install -r requirements.txt

2️⃣ Set Up API Keys

You can either:

1. Use default API keys (may expire).
2. Provide your own API keys:
   • Get a Groq API Key: Groq API
   • Get a Hugging Face Token: Hugging Face

🔑 Setting API Keys Locally

Create a .env file in the project root and add:

GROQ_API_KEY=your_groq_api_key
HF_TOKEN=your_huggingface_token

🔑 Setting API Keys for Streamlit Deployment

If deploying on Streamlit Cloud, add the API keys as secrets:

1. Go to Streamlit Cloud → Your App → Edit Secrets.
2. Add the following: ini GROQ_API_KEY="your_groq_api_key" HF_TOKEN="your_huggingface_token"

🔍 FAISS Database Creation

Before running the chatbot, you must create the FAISS vector database:

python create_faiss.py

This generates the required faiss_index/ folder.

▶️ Running the Chatbot

Once FAISS is created, start the chatbot:

streamlit run app.py

📂 Project Structure

Nexus-QA/
├── faiss_index/
│   ├── index.faiss
│   └── index.pkl
├── .env
├── app.py
├── create_faiss.py
├── intents.json
└── requirements.txt

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📜 License

This project is licensed under the MIT License.

Built With

• python