Build a chatbot that answers questions from your own documents

Trains a chatbot on your Google Docs content so it can answer questions accurately based only on your material.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"user asks a question"]:::trig s0[("search stored document chunks")]:::store s1["ai writes grounded answer"]:::task s2["send reply to user"]:::svc trig --> s0 s0 --> s1 s1 --> s2 out[/"grounded answer from your documents"/]:::out pay{{"accurate self service support answers"}}:::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 stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Chatbots & AssistantsKnowledge Base & RAGMessaging & NotificationsSpreadsheet & Database OpsEducation & Training
Connects
SupabaseGoogle DocsTelegram

The problem it solves

You or your customers have to dig through long documents to find an answer, and a generic chatbot just makes things up when it doesn't know something. You need answers that are actually grounded in your own material.

Who it fits

Businesses that want a support or training chatbot that only answers from their own documentation.

How it works

  1. You point the automation at a Google Doc with your reference content
  2. It splits the content into chunks and converts each one into a searchable format, stored in a database
  3. When someone sends a question, the automation searches for the most relevant chunks of your content
  4. AI reads those chunks and writes an answer based only on what's there
  5. The person gets a reply, in chat or through Telegram
What you get

Questions answered instantly instead of unanswered

Your own documents become a chatbot that gives accurate, sourced answers to anyone who asks.

What you get

An accurate chatbot reply based only on your own reference documents.

What you need

A Google Workspace account, a Supabase account, and an OpenRouter or Together AI 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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