Coursera Courses RAG
A Retrieval-augmented generation (RAG) that will answer users about Coursera courses, this RAG was made using langcahin, Gemini pro and pinecone as a vector database. we got an inspiration to make this RAG because we as students always look for a way to learn, and an AI system that answer our questions about Coursera courses would be beneficial for us and other students who look for courses. We have utilized Pandas to do some cleaning before inserting the courses data inside the vector database, and made sure that the data was clean and ready in a format that would be suitable to be queried by a vector database