RAG & Knowledge Basesfree

Parse, Normalize, Extract, and Store PDF Content for RAG in Pinecone

by Alok KumarUpdated Aug 2026

Requires

Google DriveOpenAI

1/5

STEPS · 13

Starts on a Google Drive event

On a new Google Drive file, extracts and chunks PDF text, embeds it with OpenAI, and stores vectors in Pinecone.

Drive Knowledge Base Chat Agent

When files are added to Google Drive, indexes them into Milvus with Cohere embeddings so an OpenAI chat agent answers questions.

On chat message, an OpenAI agent retrieves knowledge from Qdrant and Google Drive to draft Zendesk ticket replies.

On a chat message or Google Drive upload, embeds files into Supabase and answers questions with an OpenAI RAG agent.