Index Documents from Google Drive to Pinecone with OpenAI Embeddings for RAG

🧠 Google Drive Upload Trigger → Pinecone Vector Upsert for Document Indexing Category: AI & LLM / Document Indexing Level: Intermediate Tags: Google Drive, Pinecone, OpenAI, Embeddings, Vector Store, LangChain, RAG

📄 What This Workflow Does This workflow watches a specific Google Drive folder and automatically uploads any newly added document to a Pinecone vector database — complete with OpenAI-generated embeddings.

Perfect for setting up retrieval-augmented generation (RAG) pipelines, semantic search, or document Q&A systems. Once configured, your knowledge base stays up-to-date with zero manual effort.

Watch Full Step By Stey Tutorial Video Here: https://www.youtube.com/@Automatewithmarc

🔧 How It Works 📁 Google Drive Trigger Watches a specific folder and triggers when new documents are uploaded.

🔍 Google Drive File Search & Download Finds and fetches all files in the folder.

🔄 Loop Over Each File Handles batch processing for multiple files.

📃 Document Loader Parses each file as binary and applies custom metadata like document type.