Gmail to vector embeddings with pgvector and Ollama

Say hello to smarter email memory!

This automation turns your entire Gmail history into a searchable knowledge base using local AI tools — letting you ask questions like “What hotel did I stay at last summer?” or “What were my grades last semester?”

By combining vector similarity search with structured data, you’ll be able to semantically explore your inbox locally — no cloud processing required.

What it does:

📥 Reads and stores your Gmail history (past & future)

🧠 Creates vector embeddings and structured records

🔍 Enables semantic and factual email searches

🧩 Connects to PgVector on Postgres using open-source tools

🛠️ Compatible with Ollama + nomic-embed-text for full local setup

✅ Setup guide, workflows, and ready-to-use templates included

Need help setting it up? We offer full configuration and testing for a one-time fee.