Build a multi-topic AI chatbot that answers from your own documents

A team of AI agents answers customer questions in any language, pulling accurate answers from your own documents.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"customer sends telegram message"]:::trig s0["classify question topic"]:::task s1["retrieve relevant documents"]:::task s2["send answer to customer"]:::task trig --> s0 s1 --> s2 gx{"× which topic area applies"}:::gate s0 --> gx p00["search topic a documents"]:::task gx -->|"topic a specialist"| p00 p10["search topic b documents"]:::task gx -->|"topic b specialist"| p10 jn{"○ answer ready"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"accurate answer delivered"/]:::out pay{{"less repetitive support work"}}:::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 stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGCRM & Sales PipelineMessaging & NotificationsDocument Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
TelegramGoogle DriveGoogle DocsSupabaseOpenAI

The problem it solves

Answering the same customer questions over and over, in different languages, across different topics, wears down a support team fast. Keeping a knowledge base accurate and up to date is its own ongoing chore.

Who it fits

Businesses that want a knowledge-based chatbot for customer support, internal help, or lead generation across multiple topics.

How it works

  1. A customer sends a message on Telegram in any language
  2. A supervisor AI figures out which topic the question is about
  3. It hands the question to a specialist AI agent trained on that topic
  4. The agent retrieves relevant information from your documents and Google Drive
  5. It sends back an accurate, on-topic answer in the customer's language
What you get

Questions answered in a customer's own language, any hour

Customers get accurate answers pulled from your own documents, in whatever language they write in.

What you get

Accurate, on-topic chatbot answers in the customer's own language, sourced from your real documents.

What you need

A Telegram bot, a Google Drive account, a vector database such as Supabase or Postgres, and an OpenAI 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

Related automations

Back to the AI Playbook