Build an AI assistant that cites sources from your own documents

Turns a collection of documents into a searchable AI assistant that answers questions and shows exactly where the answer came from.

How the work actually flows

A straight line. Runs once per one per document section.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig[\"new documents added to library"\]:::trigdata s0[["break documents into sections"]]:::mi s1[("store sections in searchable database")]:::store s2(("someone asks a question")):::human s3["find most relevant sections"]:::svc s4["generate answer with citations"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"cited answers to questions"/]:::out pay{{"trustworthy answers instead of guesses"}}:::pay s4 --> 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 personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Chatbots & AssistantsKnowledge Base & RAGWeb Scraping & Data Collection
Connects
OpenAIMilvus

The problem it solves

When someone asks a question about your policies, product details, or internal knowledge, the answer is buried across dozens of documents nobody has time to search. You want a reliable answer you can trust, not a guess that sounds confident but might be wrong.

Who it fits

Teams with a library of documents, guides, or articles who want a trustworthy AI assistant to answer questions from them.

How it works

  1. Your documents are gathered and broken into manageable sections
  2. Each section is converted into a searchable AI format and stored in a database
  3. Someone asks a question through a chat window
  4. The AI finds the most relevant sections and writes an answer with citations
  5. You receive a clear answer along with the sources it came from
What you get

Answers you can trust because you see the source

Anyone can ask a question and get a clear answer pulled straight from your own documents, with the exact source shown.

What you get

Answers to questions, each backed by citations pointing to the source material.

What you need

An OpenAI account and a vector database account.

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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