🤖 File QA RAG Chatbot App

A Retrieval-Augmented Generation (RAG) chatbot using OpenAI GPT-3.5 and Streamlit.

A Streamlit-based Retrieval-Augmented Generation (RAG) chatbot that allows users to upload PDF files and ask context-aware questions using OpenAI GPT-3.5 and LangChain.

🔗 Live App

👉 Launch App

🧠 Features

• Upload multiple PDF files
• Extracts content and embeds using OpenAI Embeddings
• Retrieves relevant context using FAISS
• Streams GPT-3.5 answers based on your questions

🚀 Tech Stack

• Streamlit UI
• LangChain (Embeddings, Retriever, Prompting)
• OpenAI GPT-3.5 Turbo API
• FAISS (vector similarity search)

📸 Screenshots

🔹 Upload and Chat Interface

🔹 Sample Answer from GPT

📦 How to Run Locally

pip install -r requirements.txt
streamlit run app.py

🔐 API Key

This app uses OpenAI’s GPT-3.5 model via API.
To run the app yourself, store your API key in Streamlit Secrets:

OPENAI_API_KEY = "your-openai-api-key"

🔒 The key is accessed securely via st.secrets["OPENAI_API_KEY"].
No key input is required in the app UI.

📄 License

MIT License © 2025 Sanjana Shah

👤 Author

Sanjana Shah
✨ Machine Learning & Generative AI Enthusiast
📫 LinkedIn

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⭐ If you like this project, consider starring it on GitHub!