Build a chatbot that answers from your own documents

This AI chatbot remembers your conversation and searches your private knowledge base to answer accurately.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"user sends chat message"]:::trig s0[("check conversation history")]:::store s1[("search knowledge base")]:::store s2["generate grounded answer"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"accurate answer sent to user"/]:::out pay{{"customers get instant accurate 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 stepA record or sheetResultPayoff
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 Ops
Connects
OpenAISupabasePostgres

The problem it solves

You want a chatbot that can answer questions using your own company documents, not just generic web knowledge. Off-the-shelf assistants either don't know your business or forget what you told them two messages ago. You need something that remembers the conversation and actually searches your own files for the right answer.

Who it fits

Businesses that want a private chatbot trained on their own documents and project data.

How it works

  1. A user sends a message in the chat
  2. The AI checks the conversation history for context
  3. It searches your private knowledge base for relevant information
  4. It sends back an answer grounded in your own documents
What you get

Questions answered from your own documents

You get a private chatbot that answers questions by searching your own documents and remembering the conversation.

What you get

An accurate chat answer, backed by your own stored documents and past conversation.

What you need

An OpenAI account and a Supabase database.

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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