Vercel AI SDK RAG

This project Based off Starter Project with modifications based on the Vercel docs

This is the starter project for the Vercel AI SDK Retrieval-Augmented Generation (RAG) guide.

This project is a vercel ai sdk chatbot that will only respond with information that it has within its knowledge base. This is done by using tools. Tools also allow you to also stream UI from the backend (not in the scope of this example, but is a todo). The chatbot will be able to both store and retrieve information. This project is a foundation for an AI version of myself or a customer service rep for a business!

This project will use the following stack:

• Next.js 14 (App Router)
• Vercel AI SDK
• OpenAI
• Drizzle ORM
• Postgres with pgvector
• shadcn-ui and TailwindCSS for styling

Requirements for use

This project requires an openapi key.

This project is set up to run postgresql locally. but you can change that to use vercel or another postgresql service.

Prep

setting up postgresql locally

brew services start postgresql 

checking postgres services

ps aux | grep postgres

running postgres database for this project locally

psql -d postgres -U home

once you have set up postgresql locally and run pnpm install (all required libs) you can migrate the db. this will set up the schema and tables

pnpm db:migrate

after you have the hook to search query embeddings

pnpm db:push