Vector Databases

Vector Databases Fundamentals is a beginner-friendly course that teaches students how vector databases store and search data by meaning rather than exact keywords. Learners explore core concepts like embeddings, similarity search, distance metrics, and indexing, alongside a practical tour of leading tools. The course places special emphasis on Retrieval Augmented Generation (RAG), showing how vector databases give AI models like ChatGPT memory of your own documents and knowledge bases. By the end, students build a fully functional Smart Document Q&A Bot in Python — capable of ingesting any PDF and answering questions about it with cited, AI-generated responses.