Make your Google Drive documents searchable by AI

Turns your Google Drive documents into a searchable knowledge base an AI assistant can reference.

How the work actually flows

A straight line. Runs once per each text chunk.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user points to a drive folder")):::human s0["pull documents from drive"]:::task s1["split text into chunks"]:::task s2[["convert chunks to embeddings"]]:::mi s3[("store in vector database")]:::store trig --> s0 s0 --> s1 s1 -->|"one per each text chunk"| s2 s2 --> s3 out[/"searchable ai knowledge base built"/]:::out pay{{"ai can answer from your documents"}}:::pay s3 --> 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
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGFile & Cloud Storage
Connects
Google DriveOpenAISupabase

The problem it solves

Your company knowledge is scattered across PDFs and documents in Google Drive, and finding the right answer means opening file after file. There's no easy way for an AI assistant to actually use that information when someone asks a question.

Who it fits

A business that wants an AI assistant to answer questions using its own documents stored in Google Drive.

How it works

  1. You point the system at a Google Drive folder of documents
  2. It pulls each document and breaks the text into manageable chunks
  3. AI converts each chunk into a searchable embedding
  4. The embeddings are stored in a vector database
  5. You end up with a searchable knowledge base ready for an AI assistant to use
What you get

Documents ready for your AI assistant to search

Your Google Drive documents become a searchable knowledge base your AI assistant can reference to answer questions accurately.

What you get

A searchable, AI-ready knowledge base built from your Google Drive documents.

What you need

A Google Drive account, an OpenAI API key, and a vector database account.

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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