RAG Video Chatbot — Built with Python
Context-aware answers from your documents through interactive video conversation.
Project capabilities are shown below; no measured performance results are claimed.
Codefrem
2026
Data Science
Where it hurt
Finding specific information inside large documents and video content can be time-consuming. Traditional chatbots often lack access to private or project-specific knowledge, which can lead to generic or unreliable answers. Users need a faster way to interact with their own data through natural conversation.
What we built
We built a Python-powered RAG Video Chatbot that combines Retrieval-Augmented Generation with an interactive video-based chat experience. Users can upload their own documents, retrieve relevant information from a knowledge base, and ask questions through a conversational interface. The system uses retrieved context to generate grounded, context-aware responses.