Learn RAGEmbeddings and Vector Databases
The module teaches you to create OpenAI embeddings, store them in a Supabase vector database, and find relevant text with similarity search. Its lessons build a browser chatbot on that database, and running the chatbot locally means adding two packages the download leaves out and reconnecting the Vite project to your database with the right kind of Supabase key.
These pages accompany the Embeddings and Vector Databases module of Scrimba's AI Engineer Path. They don't replace the lessons; they hold the setup detail that changes faster than a recorded scrim can, so it can be corrected here instead of re-recorded.
The pages
Running Embeddings and Vector Databases locally is for when you've downloaded the chatbot project from the lesson menu and want it running on your own machine. It covers what to install first, how to install the missing packages and connect the chatbot to OpenAI and Supabase with a browser-safe key, and the errors most learners hit on the way.
More pages for this module will be added here as they're written.
Looking for a different course?
Run an AI course project locally lists every course and project that has a setup guide.