How to Search Across Notion, Slack, Google Drive, and GitHub at Once
How to Search Across Notion, Slack, Google Drive, and GitHub at Once
Your team's knowledge is scattered across 5+ tools. Here's how to unify it with AI-powered search that actually understands what you're looking for.
The Multi-Tool Reality
You've got docs in Notion, conversations in Slack, files in Google Drive, and code in GitHub. When someone asks "What's our API rate limiting policy?", the answer might be in any of them, or spread across all four.
This is the modern knowledge fragmentation problem. And it's costing your team hours every week.
Let's be honest: you're not going to consolidate everything into one tool. Engineers need GitHub. Product needs Notion. Sales needs Drive. Everyone needs Slack.
Each tool has its own search, but Notion search only searches Notion, Slack search only searches Slack (and it's keyword-only), Google Drive search only searches Drive, and GitHub search only searches code.
So when you need an answer, you end up opening four tabs and running four searches. Or worse, you interrupt a colleague who "knows where everything is."
What Unified Search Actually Means
Unified search doesn't mean moving all your data to one place. It means having one search interface that queries all your tools simultaneously.
Ask a question once. Get results from everywhere.
Example query: "What's our refund policy?"
Results might come from Notion (Customer Support Playbook), Google Drive (Refund Policy v2.pdf), Slack (#support thread from Oct 2025), and GitHub (checkout-service/README.md mentions refund flow).
Even better: AI-powered unified search doesn't just find documents. It synthesizes an answer from all sources and cites where it came from.
How It Works (Technical Overview)
Modern unified search tools use a technique called RAG (Retrieval-Augmented Generation).
First, connect your data sources. OAuth integrations pull content from each tool while respecting permissions.
Second, index and embed. Content is chunked and converted into vector embeddings, which are mathematical representations of meaning.
Third, semantic search. When you ask a question, it's converted to the same vector space and matched against your indexed content by meaning, not just keywords.
Fourth, AI synthesis. Retrieved chunks are passed to an LLM which generates a coherent answer with citations.
This is why you can ask "How do we handle auth tokens?" and find a doc titled "Authentication Flow" even though it never uses the word "token."
Notion + Slack: The Most Common Combo
Most teams start with Notion for docs and Slack for communication. The problem? Context gets split.
The decision is in Slack, the documentation is in Notion, and neither links to the other.
Unified search bridges this gap. Ask about a feature, get the Notion spec AND the Slack discussion where the team debated the edge cases.
Adding Google Drive to the Mix
Google Drive is where the "other stuff" lives: client contracts, slide decks, spreadsheets, and PDFs from vendors.
These often contain critical information that never makes it into your wiki. Unified search makes them discoverable.
GitHub for Technical Teams
For engineering teams, GitHub contains massive amounts of knowledge: README files, code comments, PR descriptions, and issue discussions.
A unified search that includes GitHub means developers can ask "How does the payment webhook work?" and get results from both the code and the documentation.
What to Look for in a Unified Search Tool
Essential features include OAuth connections to your core tools (not manual uploads), semantic search (vector-based, not just keywords), source citations (know where answers came from), permission awareness (respects who can see what), and real-time or near-real-time syncing.
Nice to have features include Slack-native interface (search where you work), custom AI prompts for your domain, and usage analytics.
Red flags include requiring manual data export/import, no source citations, "contact sales" with no pricing transparency, and minimum seat requirements over 100.
The Small Team Advantage
Enterprise tools like Glean solve this problem beautifully, for $50k+/year with 100-seat minimums.
But small teams (5-50 people) have the same fragmentation problem but not the enterprise budget.
That's changing. Tools built specifically for small teams now offer unified search across Notion, Slack, Google Drive, GitHub, and more at flat monthly pricing that doesn't punish you for growing.
Getting Started
If you're ready to stop tab-switching between search interfaces, follow these steps.
Step 1: List your core tools (probably Notion, Slack, Drive, and maybe GitHub).
Step 2: Choose a unified search tool that connects to all of them.
Step 3: Set up OAuth connections (usually takes 5-10 minutes total).
Step 4: Ask your first question and watch it search everywhere at once.
Try AskOro
AskOro connects to Notion, Slack, Google Drive, GitHub, Confluence, Linear, Jira, and Dropbox. Ask questions in Slack, get AI-powered answers with sources from all your tools.
$49/month flat. No per-seat pricing. 5-minute setup.