Turn scanned documents into a searchable knowledge base

Converts scanned text into a searchable database so you can find answers in your documents instantly.

How the work actually flows

A straight line. Runs once per each text chunk.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig[\"scanned text becomes available"\]:::trigdata s0["chunk the text"]:::task s1[["convert chunks to embeddings"]]:::mi s2[("store in vector database")]:::store trig --> s0 s0 -->|"one per each text chunk"| s1 s1 --> s2 out[/"searchable knowledge base created"/]:::out pay{{"instant answers from your documents"}}:::pay s2 --> 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 stepRuns once per itemA 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
PineconeOpenAIGoogle DriveMistral OCR

The problem it solves

Your business probably has piles of scanned contracts, invoices, or reports that nobody can search. When you need one specific detail, someone ends up scrolling through PDFs by eye, hoping to spot it.

Who it fits

Any business that scans paper documents and wants to search or ask questions about them later.

How it works

  1. Takes text already pulled from scanned documents
  2. Breaks the text into smaller, manageable chunks
  3. Converts each chunk into a searchable format the AI can understand
  4. Stores everything in a database built for fast lookup, along with details about where it came from
What you get

Documents you can search instantly later

You turn scanned documents into a searchable library so anyone on your team can find answers in seconds, whenever they need them.

What you get

A searchable knowledge base of your scanned documents that can answer questions or find specific details in seconds.

What you need

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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