Let an AI assistant answer questions using your own documents

An AI assistant reads your uploaded documents and answers staff or customer questions with accurate, sourced replies.

How the work actually flows

A straight line. Runs once per each document chunk.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig>"document uploaded"]:::trig s0[["chunk uploaded documents"]]:::mi s1[("embed and store chunks")]:::store s2["retrieve passages for question"]:::svc s3["write answer with ai"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"sourced answer to question"/]:::out pay{{"faster answers from own documents"}}:::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
Starts itAn outside serviceRuns once per itemA 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 & RAGDocument Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
OpenAISupabaseCohereGoogle Drive

The problem it solves

Your team wastes time digging through manuals, policy documents, or old files to answer the same questions again and again. New hires and customers often can't find the answer fast enough, so they ask someone directly instead.

Who it fits

Companies with a library of internal documents, support articles, or research files that people need to search through.

How it works

  1. Documents are uploaded and broken into searchable chunks with their source details attached.
  2. Each chunk is converted into a searchable format and stored in a secure database.
  3. When someone asks a question, the system finds the most relevant passages and re-ranks them for accuracy.
  4. An AI assistant reads those passages and writes a clear answer back to the person asking.
What you get

Answers you don't have to fact-check yourself

Staff and customers get clear answers pulled straight from your own documents, sourced and ready to use.

What you get

A chat-based answer to any question, pulled directly from your own documents instead of a generic AI guess.

What you need

An OpenAI API key, a Supabase account for document storage, and a Cohere API key for result ranking.

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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