AI Semantic Search using OpenAI and Supabase

Built with:

• ✅ Next.js 12
• ✅ Supabase - PGVector to store and query vector Embeddings
• ✅ Shadcn-ui
• ✅ Langchain TypeScript integration
• ✅ Supabase as the knowledge store

🗃️ Pre-requisites

• Create a free account and get an OPEN_AI key from platform.openai.com
• Create a free account and get access to Supabase
• Migrate the Existing Database Schema, which is in the folder supabase/migrations.
• And populate your .env file with the required information.

All commands are run from the root of the project, from a terminal:

Command	Action
npm install	Installs dependencies
npm run embedding	Splits your Md file under the /docs folder into chunks, embeds them, uploads them to supabase
npm run dev	Starts the local dev server at localhost:3000