Harness the power of AI + Retrieval to get precise, document-specific answers-whether you're researching, studying, or building intelligent systems.
The RAG Chatbot is an intelligent assistant that combines advanced language models with retrieval-augmented generation (RAG) and conversational memory. It can answer your questions based on:
- 📄 Uploaded documents (PDF, TXT)
- 🌐 Webpage URLs
It remembers your previous questions, so you get context-aware, human-like responses.
- Conversational Memory: Remembers your chat history for context-rich answers.
- Multi-source Retrieval: Ask questions about uploaded files or scraped web pages.
- Modern UI: Built with Streamlit, featuring a sleek navbar, sidebar, and sticky footer.
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Clone the Repo & Install Requirements
git clone https://github.com/omsingh031/Intelligent-Chatbot-using-Retrieval-Augmented-Generation-RAG-.git cd your-repo-name pip install -r requirements.txt -
Set Up Environment Variables
Create a.envfile in the root directory with your API keys and config:LANGCHAIN_TRACING_V2=... LANGCHAIN_API_KEY=... LANGCHAIN_ENDPOINT=... LANGCHAIN_PROJECT=... -
Run the App
streamlit run app.py -
Interact!
- Upload a PDF or TXT file, or enter a webpage URL.
- Click Load File or Load URL.
- Ask your question in the chat input.
- View your conversation history and explore other sections via the navigation bar.
Welcome to our RAG Chatbot-an intelligent assistant that bridges human curiosity and machine knowledge through cutting-edge AI.
We are a passionate team of developers, designers, and researchers dedicated to making information retrieval smarter, faster, and more contextual.
Our mission: To make AI more human-centric by combining advanced language models with intuitive user interfaces and real-world usability.
- 👨💻 Om Kumar Singh – Lead Developer
- 🧑💻 Ashi Jain
- 🧑💻 Vansh Jain
- 🧑💻 Roshmik Agrawal
- 🧑💻 Aadish Chaturvedi
- 🧑💻 Shambhavi Dubey
In a world overflowing with unstructured information, our chatbot serves as a personal researcher, quickly digging through content and providing meaningful answers-with memory, clarity, and reliability.
- Add support for more file types
- Improve long-term context handling
- Integrate authentication and user profiles
- Export chat logs and document references
- 📞 Phone: +91-7004918026
- ✉️ Email: as120171.omkumar@gmail.com
- 💻 GitHub
This project is licensed under the MIT License. See LICENSE for details.
Made with ❤️ by Om Kumar Singh and Team