Provide answers from personal documents using RAG with FAISS, Wikipedia integration, and LLM fallback in a simple Streamlit interface.
Hybrid-Rag-AI-Assistant is a desktop application that helps you get answers and information quickly by combining several AI tools. It uses vector search, Wikipedia information, and smart language models to provide helpful responses. The app runs on your Windows PC and requires no programming knowledge.
This tool is built with Python and uses technologies like FAISS for fast search, Streamlit for the interface, and several AI methods behind the scenes. It aims to give you clear answers by combining local data search and online knowledge sources.
Before installing, make sure your PC meets these requirements:
Go to the download page by clicking the big button below:
This link will take you to the GitHub repository where you can get the app.
On the GitHub page:
Hybrid-Rag-AI-Assistant requires Python. If you don’t have it:
run_app.bat or start.batThe app will open in your web browser using Streamlit’s interface. You can now use the AI assistant.
Type your question in the box and press Enter or click the send button. The app will search local data and Wikipedia to find answers.
The assistant uses several methods:
You don’t have to do anything to switch between these. The app decides automatically.
Use the provided buttons to clear the conversation if you want to start over.
pip install -r requirements.txtrun_app.bat from File Explorer instead of running from command prompt directly..py): The core AI code and logic.requirements.txt: List of Python packages needed.run_app.bat: A batch file to start the app.No setup beyond installing Python and packages is needed.
All these parts run quietly in the background. You only see the chat interface.
To update to the latest version:
If you want to run or modify the code, open the folder in any code editor or IDE like Visual Studio Code.
You can install all Python dependencies with:
pip install -r requirements.txtYou can run the app by typing in the command prompt while inside the folder:
streamlit run main.pyThis app relates to:
Use these keywords if you want to search for similar projects or learn more.
For easy access, use this link to download the app files:
https://github.com/umbelliferous-floodcontrol771/Hybrid-Rag-AI-Assistant
umbelliferous-floodcontrol771/Hybrid-Rag-AI-Assistant
March 28, 2026
April 13, 2026
Python