IT Support RAG Chatbot-> Vega 🤖

This project is a RAG (Retrieval-Augmented Generation) chatbot that answers IT support questions based on a knowledge base of past tickets.

Features

• Multilingual: Supports both English and German.
• Metadata Filtering: Uses language and type to find relevant answers.
• Powered By: LlamaIndex, Streamlit, and ChromaDB.

How to Run

1. Clone the repository:

   git clone [https://github.com/your-username/your-rag-project.git](https://github.com/your-username/your-rag-project.git)
   cd your-rag-project

2. Install dependencies:

   pip install -r requirements.txt

3. Set up your API Key:

   • Create a file named .env
   • Add your key: OPENAI_API_KEY=sk-xxxxxxxx

4. Build the Knowledge Base (Run once): This will load the CSV from the data/ folder and build the local chroma_db/ vector store.

   python src/ingest.py

5. Run the Chatbot App:

   streamlit run src/app.py

   Now open your browser to the URL provided (e.g., http://localhost:8501).