• Build custom Question, Answering (Information Retrieval) application system to query against given documents using Llama-Index, Google GeminiAPI

• LLMs provide answers to your questions searching across wide range of resources. But, this custom QA_Information_Retrival_Application facilitate accessing information from given documents (useful to search confidential/proprietary documents).

In terminal -->

• create and activate virtual env
• pip install -r requirements.txt
• streamlit run StreamlitApp.py
• http://localhost:8501/

conda create -n qasys python=3.9 -y

conda activate qasys

pip install -r requirements.txt

streamlit run StreamlitApp.py

GOOGLE_API_KEY = get from .env

http://localhost:8501/