DocQA

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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

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

References

• uv: Python package manager
• RAG
• Chat History
• FAISS