Build a private AI assistant that answers from your own documents

Keeps sensitive documents fully private while an in-house AI answers staff questions about them.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig[\"new file added to drive"\]:::trigdata s0["download file and extract text"]:::svc s1["convert text to embeddings"]:::svc s2[("store embeddings in private database")]:::store s3["answer question using stored passages"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"documents searchable by private assistant"/]:::out pay{{"answers without exposing confidential data"}}:::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 itAn 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 & RAGDocument Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
Google DriveLlama 3QdrantPostgres

The problem it solves

You have confidential contracts, research, or internal files and can't risk sending them to a cloud AI service. Staff still waste time hunting through folders for the answer they need.

Who it fits

Research teams or compliance-sensitive businesses that need document Q&A without sending data to the cloud.

How it works

  1. A new or updated file appears in a watched Google Drive folder
  2. The system downloads it and extracts the text
  3. Text is converted to embeddings using a locally run AI model
  4. The embeddings are stored in a private, local database
  5. When someone asks a question, the system finds the right passages and drafts an answer without leaving your own servers
What you get

Staff questions answered from your own documents

Your team can ask questions about internal documents and get answers without any data leaving your own servers.

What you get

A private chat assistant that answers employee questions using only the business's own stored documents.

What you need

Self-hosted servers running a local AI model and databases, plus a Google Drive account for document storage.

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

Turn Google Drive files into a searchable AI chat assistant

The system reads everything in a Google Drive folder and lets your team ask it questions in plain English.

Advanced

Website chatbot that answers questions using your own documents

Answers visitor questions on your website using the content of your own documents stored in Google Drive.

Advanced

Chat with your Google Drive documents using an AI assistant

Lets you ask questions in plain English and get accurate answers pulled straight from your own Google Drive documents.

Advanced

Ask questions and get answers from your PDF documents

Reads your PDF documents with AI, stores them for search, and lets you ask questions in plain English.

Advanced
Back to the AI Playbook