Build an intelligent agent for document search via Supabase

How it works

1. 1.Load and read documents uploaded through the chat interface
2. 2.Split text into small segments and convert them to numerical embeddings
3. 3.Store embeddings in Supabase with original document content
4. 4.Receive user questions and search for the most relevant document segments
5. 5.Generate intelligent answers using OpenAI based on retrieved documents

Use cases

• Create a smart assistant that answers employee questions based on company policies and internal documentation
• Build a semantic search engine that retrieves the most relevant document sections for customer inquiries

Requirements

• OpenAI API key for generating embeddings and responses
• Supabase account with a database configured to store embeddings
• Proper application authentication and access to the chat interface

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.