Rag-Ai-ChatBot-For-CSE-QnA
This project is an AI-driven chatbot trained on theoretical Computer Science subjects like DBMS, CN, OS, Blockchain and OOP. The bot answers questions based on content fed through pre-embedded PDFs using ChromaDB. The project offers both a command-line interface (CLI) and a user interface (UI) built using Streamlit.
Stars
2
Committers
2
Ecosystems:
Langchain
AI-Powered CSE Subject Bot
This project is an AI-driven chatbot trained on theoretical Computer Science subjects like DBMS, CN, OS, Blockchain and OOP. The bot answers questions based on content fed through pre-embedded PDFs using ChromaDB. The project offers both a command-line interface (CLI) and a user interface (UI) built using Streamlit.
Features
- Pre-fed PDFs: The chatbot has been pre-trained with PDFs covering theoretical Computer Science subjects.
- LangChain Integration: Uses LangChain to generate relevant prompts and responses.
- Gemini AI: Powered by Google Gemini AI for generating intelligent answers.
- ChromaDB: Stores and retrieves document embeddings to provide accurate responses.
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Two Interfaces:
-
Streamlit UI: A user-friendly interface (
app.py) where users can ask questions. -
CLI: A terminal-based interface (
rag.py) for command-line interactions.
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Streamlit UI: A user-friendly interface (
Tech Stack
| Technology | Purpose |
|---|---|
 Python |
Core programming language |
|  Gemini AI |
AI-driven responses |
 ChromaDB |
Vector store for embedding storage |
 Streamlit |
User interface for the application |
Running the Project
Streamlit UI Version
- Clone the repository:
git clone https://github.com/yourusername/project-name.git cd project-name - Install dependencies:
pip install -r requirements.txt - Run the Streamlit app:
streamlit run app.py
CLI Version
- After cloning the repository and installing dependencies (as shown above), run:
python rag.py
How It Works
-
PDF Embedding: The pre-embedded PDFs (stored in
generate_embeddings.py) are processed and stored in ChromaDB. This allows the bot to answer questions related to the content from those PDFs. - Streamlit UI: Users can interact with the bot using the UI, asking questions that will be answered using the AI-powered bot.
- CLI Version: Similar functionality but using a terminal interface.