Turn your Google Drive files into a searchable AI knowledge base

Drop documents into Google Drive and ask a chatbot questions about them, with instant accurate answers.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"new file added to drive"]:::trig s0["Split document into chunks"]:::task s1[("Store chunks in vector database")]:::store s2["Match question to relevant chunks"]:::svc s3["Generate answer from documents"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"AI answers from your documents"/]:::out pay{{"instant answers without searching files"}}:::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
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGFile & Cloud Storage
Connects
Google DrivePineconeOpenAI

The problem it solves

You have contracts, policies, and reports scattered across Drive folders. When someone needs an answer, they have to hunt through files or ask around, and it depends on whoever remembers where things are.

Who it fits

Any small business with a growing library of internal documents that staff need to search and ask questions about.

How it works

  1. New file dropped into a Google Drive folder triggers the system
  2. The document is broken into chunks and turned into searchable data
  3. Chunks are stored in a Pinecone vector database
  4. A team member asks a question, and the AI agent finds the most relevant chunks
  5. The AI replies with an answer based on the actual documents, plus conversation memory
What you get

Answers found without digging through files

Your team can ask plain questions and get accurate answers pulled straight from your own documents, any time they need them.

What you get

A chat-based assistant that answers questions using your own documents, with sources drawn from Drive.

What you need

A Google Workspace account, a Pinecone account, and an OpenAI 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

Related automations

Answer livestock health questions instantly with an AI vet chatbot

A Telegram chatbot answers livestock and animal health questions using your own documents and records as a knowledge base.

Advanced

Answer customer questions instantly from your own knowledge base

A chatbot reads your uploaded documents and instantly answers customer questions, day or night.

Advanced

Let employees ask questions about company policy instantly

A chatbot answers employee policy questions instantly using your actual HR documents as the source.

Advanced

Turn your own documents into a chatbot that answers questions

Feeds your policies and manuals into an AI assistant that answers questions using only your own content.

Starter
Back to the AI Playbook