Chat-with-PDF-without-Langchain

This is a powerful PDF Document-based Question Answering System using using Retrieval Augmented Generation. By the power of LlamaIndex, Llama2 model using Gradient's LLM, seamlessly merged with superfast Apache Cassandra as a vector database.

A Simple User interface is made with Streamlit

Deploy the file after setting up the virtual environment with:

streamlit run chatwithpdf.py

Another file which uses FastAPI Integration

The system can be deployed and utilized through FastAPI in the main.py file. First Install uvicorn:

pip install "uvicorn[standard]"

Run the Server Program

uvicorn.run(app, host="127.0.0.1", port=5000)