The chat app is created using streamlit and context chat engine from llamaindex. When a student asks a question about a particular course. The relevant embeddings are retrieved from the vector database and given as a context to the LLM. The LLM then synthesizes the embeddings and provides a coherent answer.

1. Clone this repository.
2. Install dependencies using pip install -r requirements.txt.
3. Deploy the LLM-Mistral 7B in VertexAI and add the endpoint id in main.py.

• Run the project with streamlit run main.py.
• Access the app at http://localhost:8501/.