Build a chatbot that answers questions from your company documents

Answers employee or customer questions using your own documents, and updates itself whenever files change.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"question asked or file changed"]:::trig s0["Classify incoming event"]:::task s1["Route to matching handler"]:::task trig --> s0 s0 --> s1 gx{"× question or file event"}:::gate s1 --> gx p00["Search stored documents"]:::task gx -->|"Answer question"| p00 p01["Rerank and recall context"]:::task p00 --> p01 p10["Reprocess changed file"]:::task gx -->|"Sync knowledge base"| p10 p11["Remove deleted file from index"]:::task p10 --> p11 p01 --> out p11 --> out out[/"answer grounded in your documents"/]:::out pay{{"always current chatbot knowledge"}}:::pay 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 stepOne 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 & RAGDocument Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
Google DriveGoogle GeminiSupabaseCohere

The problem it solves

Your team keeps asking the same questions about policies, procedures, or product details, and the answers live scattered across documents nobody wants to dig through. Keeping a support bot's knowledge current usually means someone manually re-uploading files every time something changes.

Who it fits

A business or team that wants an internal or customer-facing chatbot built on its own documents.

How it works

  1. A person asks a question through the chat
  2. The system searches your stored documents for the most relevant information
  3. It reorders the results for accuracy and remembers the conversation so far
  4. An AI writes an answer grounded in your actual documents
  5. In the background, any new or changed file in your Google Drive folder is automatically re-processed, and deleted files are removed from the knowledge base
What you get

Answers pulled straight from your own files

You get a chatbot that answers questions using your own company documents, day or night.

What you get

A chat answer grounded in your own documents, always current with what's in your Google Drive folder.

What you need

A Google Drive account, a Supabase account, and a Google Gemini 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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