Turn uploaded PDFs into a searchable question-answering chatbot

Reads new PDFs from a folder, breaks them into chunks, and stores them so a chatbot can answer questions about them.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"new PDF uploaded"]:::trig s0["parse PDF into text"]:::task s1["strip formatting clutter"]:::task s2[("chunk and store text")]:::store s3["chatbot answers questions"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"chatbot that answers from PDFs"/]:::out pay{{"quick answers without reading 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
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGDocument Processing & OCRFile & Cloud Storage
Connects
Google DriveLlamaIndexOpenAIPinecone
Featured in

The problem it solves

You have long PDFs like policies or contracts that people need answers from quickly, but nobody wants to dig through pages to find the right clause. Searching by keyword often misses the answer that's phrased differently.

Who it fits

A business handling structured documents like insurance policies, contracts, or compliance manuals.

How it works

  1. A new PDF appears in a watched folder
  2. The document is parsed into clean text
  3. Headers, footers, and formatting clutter are stripped out
  4. The text is split into chunks and stored in a searchable database
  5. A chat assistant answers questions by pulling the relevant chunks
What you get

Documents made searchable for instant answers

Your PDFs become part of a searchable knowledge base so a chat assistant can answer questions about your policies and contracts.

What you get

A chatbot that answers questions directly from your PDF library.

What you need

A Google Workspace account, a document parsing service, a vector database 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

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