QA_Information_Retrival_Application

Goal:

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

Application:

• 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).

Access Streamlit application

In terminal -->

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

1. Application interface

2. Application facilitates loading any number of files from your local directory

3. After uploading files, ask question and retrive information as below...........

4. Ask another question

5. What happens if you query for information not exist in your input documents.......

How to run?

conda create -n qasys python=3.9 -y

conda activate qasys

pip install -r requirements.txt

streamlit run StreamlitApp.py

Set Environment variables

GOOGLE_API_KEY = get from .env

Streamlit application

http://localhost:8501/