Connect Google Drive with Supabase

How it works

1. 1.Receive documents from Google Drive or trigger queries via chat interface
2. 2.Split document content into indexable text chunks using a recursive text splitter
3. 3.Convert text chunks into vector embeddings via OpenAI and store them in Supabase
4. 4.Retrieve the most relevant chunks from the database based on query similarity
5. 5.Process the query and retrieved chunks through an LLM chain to generate evidence-backed answers

Use cases

• Build an intelligent search system for documents stored in Google Drive with instant answers to questions
• Create a smart assistant that understands large collections of files, contracts, and reports and responds efficiently
• Automate processing of massive documents and organize them in a searchable and rapidly retrievable format

Requirements

• Active Google Drive account with access to the files you want to process
• Supabase account with a database and vector store capability enabled
• OpenAI API key for embeddings and natural language processing

Service Value

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