Turn any webpage into a searchable AI knowledge base

Scrapes a webpage, stores it as searchable AI knowledge, and lets your team ask questions about it in chat.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig(("webpage url submitted")):::human s0[("check if page already indexed")]:::store s1["scrape and extract text"]:::svc s2["generate ai embeddings"]:::svc s3[("store in vector database")]:::store trig --> s0 s1 --> s2 s2 --> s3 gx{"× already indexed"}:::gate s0 --> gx p00["scrape convert and embed"]:::task gx -->|"new page"| p00 p10["skip processing"]:::task gx -->|"already indexed"| p10 p00 --> s1 p10 --> s1 out[/"searchable knowledge base populated"/]:::out pay{{"instant answers from own content"}}:::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
An outside serviceA personA record or sheetOne path onlyResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGSpreadsheet & Database OpsWeb Scraping & Data Collection
Connects
FirecrawlOpenAIOpenRouterCohereSupabase

The problem it solves

Your team's knowledge is scattered across web pages, docs, and old bookmarks, and nobody has time to read through it all when a question comes up. Finding the right answer means digging through multiple sources by hand.

Who it fits

Teams that want an internal chatbot that can answer questions from their own web content.

How it works

  1. A web address is submitted to the system
  2. Automation checks whether that page has already been added
  3. New pages are scraped and converted into clean text
  4. Text is turned into searchable AI embeddings and stored
  5. Team members ask questions in a chat interface and get answers pulled from the stored content
What you get

Answers your team can pull from any page

Your team can ask questions in chat and get answers pulled directly from any webpage you've added to the knowledge base.

What you get

A searchable knowledge base and a chat assistant that answers questions using only your ingested content.

What you need

Accounts with Firecrawl, OpenAI, OpenRouter, Cohere, and Supabase.

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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