Sync Google Drive documents into a searchable knowledge graph

New files in Google Drive are automatically extracted and mapped into a knowledge graph that reveals topics and gaps.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"new file added to drive"]:::trig s0["identify file type"]:::task s1["send text to knowledge graph"]:::svc s2["update visual topic map"]:::task trig --> s0 s1 --> s2 gx{"× is file a pdf"}:::gate s0 --> gx p00["convert pdf to text"]:::task gx -->|"pdf files"| p00 p10["extract text directly"]:::task gx -->|"other files"| p10 jn{"○ before graph update"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"updated knowledge graph with gaps"/]:::out pay{{"visibility into team knowledge"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Knowledge Base & RAGDocument Processing & OCRFile & Cloud Storage
Connects
Google DriveInfraNodus

The problem it solves

Your team's knowledge lives scattered across dozens of documents in Google Drive, and nobody has time to read through all of it to find the connections. You want to know what topics you're covering, and where the gaps in your thinking are, without manually reviewing every file.

Who it fits

Researchers, consultants, or teams managing a large library of documents.

How it works

  1. A new file appearing in your Google Drive folder starts the process
  2. The system identifies the file type and extracts its text
  3. PDF files are converted to text, with optional high-quality conversion
  4. The extracted text is sent to build or update a knowledge graph
  5. You get a visual map of your documents' topics, ideas, and content gaps
What you get

Topics and gaps mapped across your documents

Every new document in Drive gets mapped into a visual knowledge graph, showing you the topics and gaps across your library.

What you get

A visual knowledge graph of your documents that highlights key topics and content gaps, with AI chat access to the material.

What you need

A Google Drive account and an InfraNodus account with API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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