DocQA

This project implements a document-based knowledge base and Q&A system using Streamlit, LangChain, Google GenAI, and FAISS.

Features

Text extraction and chunking
In-memory vector storage using FAISS
Question answering using LangChain and Google GenAI

Setup

Clone the repository
Install dependencies: uv install or pip install -r requirements.txt
Set up environment variables in .env file
Run the application: streamlit run src/main.py

References

uv: Python package manager
RAG
Chat History
FAISS