RAG & Knowledge Basespro

Gmail to Vector Embeddings with Pgvector and Ollama

by n8n CommunityUpdated Jun 2026

Requires

Postgres

Gmail

1/5

STEPS · 17

17 nodes · 0 transitions

On new Gmail emails, processes messages in batches, generates embeddings, and stores them as vectors in Postgres.

RAG Support Agent With Pinecone

On a Slack or chat message, a RAG agent retrieves from Pinecone using OpenAI and Anthropic models and replies via Gmail.

On an incoming Gmail or chat message, embeds Slack content into Pinecone and answers queries with OpenAI and Anthropic agents.

When files are added to Google Drive, embeds them into Pinecone with Gemini, letting a chat agent answer questions over the documents.