Turn large PDF uploads into a searchable knowledge base automatically

Automatically breaks down big PDFs into searchable chunks so your team or AI assistant can find answers instantly.

How the work actually flows

A straight line. Runs once per each text chunk.

Pattern: Multiple Instances with a priori Run-Time Knowledge (14) ยท Transient Trigger (23)

flowchart TD trig>"pdf file uploaded"]:::trig s0["read pdf pages"]:::task s1["split text into chunks"]:::task s2[["convert chunks to embeddings"]]:::mi s3[("store in database")]:::store trig --> s0 s0 --> s1 s1 -->|"one per each text chunk"| s2 s2 --> s3 out[/"searchable index of document"/]:::out pay{{"instant reliable search over large 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 stepRuns once per itemA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Knowledge Base & RAGAPI & Webhook Integration
Connects
OpenAIPinecone
Featured in

The problem it solves

Long documents like manuals or reports are hard to search through by hand, and preparing files so an AI assistant can reference them is a tedious manual process most teams skip.

Who it fits

Businesses building an internal AI assistant or knowledge base from large documents like manuals, policies, or reports.

How it works

  1. A PDF file is uploaded
  2. System reads through all the pages
  3. Text is split into smaller, manageable chunks
  4. Each chunk is converted into a searchable format
  5. Chunks are stored in a searchable database
What you get

Answers your team can search for instantly

You get your large PDFs broken into a searchable knowledge base your team or AI assistant can query instantly.

What you get

A searchable index of your document, ready to power an AI assistant or search tool.

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

Related automations

Back to the AI Playbook