Turn uploaded documents into a searchable AI knowledge base

Documents from Google Drive or a web form are read, understood, and indexed so staff can ask questions and get instant answers.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"document added to drive or form"]:::trig s0["read and summarize document"]:::task s1["convert text into vectors"]:::task s2[("store vectors in index")]:::store s3["answer staff questions from index"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"searchable ai knowledge base"/]:::out pay{{"instant answers without digging through 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 & RAGSurvey & FeedbackFile & Cloud Storage
Connects
Google DriveOpenAIGoogle GeminiQdrant

The problem it solves

Your team's knowledge is scattered across folders full of PDFs and policy documents. Finding the right answer means digging through files instead of just asking a question.

Who it fits

A team that needs quick answers from a large set of internal documents or policies.

How it works

  1. A document is added to Google Drive or uploaded through a form
  2. AI reads and summarizes the document's content
  3. The text is converted into searchable vector data
  4. The data is stored in a searchable index
  5. Staff can then ask a chat assistant questions and get answers pulled from those documents
What you get

Questions your team can answer from your own documents

Your team can ask questions and get instant answers pulled straight from your own documents and policies.

What you get

A searchable knowledge base and a chat assistant that answers questions from your documents.

What you need

A Google Drive account, an OpenAI account, and a Google Gemini 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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