Turn a website into a searchable AI knowledge base

The system scrapes a website and lets you ask plain-English questions that get answered with cited sources.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("website address submitted")):::human s0["discover and read every page"]:::task s1["chunk content into embeddings"]:::task s2(("question asked in plain English")):::human s3["find most relevant chunks"]:::task s4["answer with source citations"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"cited plain-English answer to question"/]:::out pay{{"finds answers without manual searching"}}:::pay s4 --> 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 stepA personResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGWeb Scraping & Data CollectionAPI & Webhook Integration
Connects
PineconeOpenAIPostgreSQL

The problem it solves

Searching through documentation, a knowledge base, or a competitor's website for one answer means clicking through page after page. You want to just ask a question and get a direct answer with a source you can check.

Who it fits

Teams building internal documentation search, research aggregation, or competitive intelligence tools.

How it works

  1. A website address is submitted to start scraping
  2. The system discovers and reads every page on the site
  3. Page content is broken into chunks and turned into searchable AI embeddings
  4. A question is submitted in plain English
  5. AI finds the most relevant chunks and answers with source citations
What you get

Answers pulled straight from your own site

You get instant answers to plain-English questions about your website's content, complete with sources you can check.

What you get

A plain-English answer to your question, along with the source pages it came from.

What you need

A Pinecone account, an OpenAI API key, and optionally a PostgreSQL database for storing full page content.

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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