How to Connect Google Drive, Notion, and Gmail to Your AI Knowledge Base

Jun 2, 2026

Problem

My team stores knowledge in six different places. Product specs live in Notion. Engineering docs are in Google Drive. Customer feedback arrives via Gmail. Meeting notes scatter across both. When I built an AI assistant to answer questions about our product, it only knew what I manually fed it. I needed a way to sync all these sources automatically.

I considered building custom scrapers for each service. That meant handling OAuth, refresh tokens, webhook registration, document extraction, chunking, and embedding myself. For six sources. I estimated two weeks of work just for the plumbing.

Supermemory Connectors

Supermemory connectors handle the full pipeline: OAuth, webhooks, extraction, chunking, and search indexing. Supported sources include:

Google Drive (Docs, Slides, Sheets)
Gmail (email threads with full metadata)
Notion (pages, databases, blocks, rich formatting)
OneDrive (Word, Excel, PowerPoint)
GitHub (repositories, documentation files)
Web Crawler (robots.txt compliance, scheduled recrawling)

Setting Up a Notion Connection

Here is how I connected Notion:

import Supermemory from 'supermemory'

const client = new Supermemory({ apiKey: process.env.SUPERMEMORY_API_KEY! })

const connection = await client.connections.create('notion', {
  redirectUrl: 'https://yourapp.com/callback',
  containerTags: ['user-123', 'workspace-alpha'],
  documentLimit: 5000,
  metadata: { department: 'sales' }
})

// Redirect user to OAuth
console.log('Auth URL:', connection.authLink)
// After authorization, documents sync automatically with real-time webhooks

from supermemory import Supermemory

client = Supermemory(api_key=os.environ["SUPERMEMORY_API_KEY"])

connection = client.connections.create(
    "notion",
    redirect_url="https://yourapp.com/callback",
    container_tags=["user-123", "workspace-alpha"],
    document_limit=5000
)

print("Auth URL:", connection.auth_link)

After the user completes OAuth, Notion pages flow into the knowledge base automatically. New pages and edits sync via webhooks. I did not write a single line of webhook handling code.

Setting Up Google Drive

from supermemory import Supermemory

client = Supermemory(api_key=os.environ["SUPERMEMORY_API_KEY"])

connection = client.connections.create(
    "google-drive",
    redirect_url="https://yourapp.com/callback",
    container_tags=["team-engineering"],
    document_limit=10000
)

Google Drive uses real-time webhooks, including shared drives and nested folders. OneDrive syncs every four hours. GitHub pushes updates via webhooks as soon as commits land.

How I Organize Data

I use containerTags to separate data by team and project. The metadata field lets me filter later. For example, I tag sales documents with department: sales so my sales support bot only sees relevant content.

Common Mistakes

Building custom scrapers — connectors already handle edge cases like Notion embeds and Gmail thread formatting
Syncing everything into one container — use tags to scope data so agents do not leak context across teams
Ignoring document limits — set a reasonable documentLimit so you do not accidentally ingest an entire company Drive

Summary

In this post, I showed how to connect external data sources to an AI knowledge base using Supermemory connectors. The key point is that one connector replaces an entire custom integration pipeline. OAuth, webhooks, extraction, and indexing happen automatically, so your agents always have the latest company knowledge.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

👨‍💻 Supermemory Connectors Docs
👨‍💻 Supermemory GitHub

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!