Turn Google Drive files into an AI-searchable knowledge base

Pulls PDFs, spreadsheets, and Google Docs from Drive, turns them into AI embeddings, and stores them for instant search.

How the work actually flows

A straight line. Runs once per each file in folder.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("user starts process on folder")):::human s0[["read and extract file text"]]:::mi s1["chunk text into pieces"]:::task s2["convert chunks to embeddings"]:::task s3[("store in vector database")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"searchable AI knowledge base ready"/]:::out pay{{"instant answers from company 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 & RAGCRM & Sales PipelineDocument Processing & OCRFile & Cloud Storage
Connects
Google DriveOpenAIPinecone

The problem it solves

Your company's knowledge is scattered across PDFs, spreadsheets, and Google Docs, so getting a straight answer means digging through files by hand, and any AI tool you try doesn't actually know what's inside them.

Who it fits

Businesses building an internal AI assistant or chatbot that needs to answer questions from their own documents.

How it works

  1. You start the process on a folder of documents in Google Drive
  2. The system reads each file, whether it's a PDF, spreadsheet, or Google Doc, and pulls out the text
  3. The text is broken into smaller chunks and turned into AI-searchable embeddings
  4. The embeddings are stored in a vector database for later retrieval
  5. Your documents are now ready to be searched and used by an AI assistant
What you get

Questions answered straight from your own documents

Your team gets instant answers pulled straight from your own documents, so nobody has to dig through folders to find what they need.

What you get

A searchable AI knowledge base built from your company's documents, ready to power an AI assistant.

What you need

A Google Workspace 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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