Chat with your Google Drive documents using AI

Lets you ask questions and get answers straight from your own Google Drive documents, powered by AI.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("document uploaded to drive")):::human s0["upload document"]:::task s1["chunk the document"]:::task s2[("embed and store chunks")]:::store s3(("ask a question")):::human s4["retrieve and answer"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"chat answers from your documents"/]:::out pay{{"find answers without searching files manually"}}:::pay s4 --> 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 stepAn outside serviceA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Chatbots & AssistantsKnowledge Base & RAGFile & Cloud Storage
Connects
Google DriveOpenAIPinecone

The problem it solves

Your team wastes time digging through PDFs, policies, and old files stored in Google Drive just to find one answer. Important knowledge is buried in documents nobody has time to search through by hand.

Who it fits

Businesses that want employees to search internal documents and policies through a simple chat, instead of digging through files.

How it works

  1. You upload a document from Google Drive
  2. The system breaks the document into smaller chunks
  3. Each chunk is converted into a searchable format and stored
  4. You ask a question in a chat window
  5. The system finds the most relevant chunks and answers using AI
What you get

Answers pulled straight from your own files

You can ask questions in plain language and get answers pulled directly from your team's documents.

What you get

A chat interface that answers questions using the content of your own documents.

What you need

A Google Drive account, an OpenAI API key, and a Pinecone 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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