Gmail to Vector Embeddings with PGVector and Ollama

Gmail to Vector Embeddings with PGVector and Ollama Who is this for? Everyone! Did you dream of asking an AI "what hotel did I stay in for holidays last summer?" or "what were my marks last semester like?". Dream no more, as vector similarity searches and this workflow are the foundations to make it possible (as long as the information appears in your e-mails 😅). 100% local This workflow is designed to use locally-hosted open source. Ollama as LLM provider, nomic-embed-text as the embeddings model, and pgvector as the vector database engine, on top of Postgres. But.. how?! Firstly, specify the date you created your Gmail account on, then manually run the workflow in order to bulk read all y

Help me set up the n8n workflow "Gmail to Vector Embeddings with PGVector and Ollama" (https://n8n.io/workflows/3762). It uses: Postgres, Gmail, Code, Recursive Character Text Splitter, Default Data Loader, Embeddings Ollama, Postgres PGVector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.