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

Help me set up the n8n workflow "Index Documents from Google Drive to Pinecone with OpenAI Embeddings for RAG" (https://n8n.io/workflows/4552). It uses: Google Drive, Embeddings OpenAI, Recursive Character Text Splitter, Pinecone Vector Store, Default Data Loader. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.