Build an AI chatbot that answers questions from your articles

Turns a collection of articles into a searchable AI chatbot that answers questions using only that content.

How the work actually flows

A straight line. Runs once per each article.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig[\"collection of articles exists"\]:::trigdata s0[["extract text from articles"]]:::mi s1["chunk and embed text"]:::task s2[("store embeddings in database")]:::store s3["answer question from relevant passages"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"chatbot answering from your content"/]:::out pay{{"answers without digging through articles"}}:::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 itA stepAn 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 Chatbots & AssistantsKnowledge Base & RAGWeb Scraping & Data Collection
Connects
OpenAIMilvus

The problem it solves

You have a library of articles, guides, or past writing that holds real answers, but nobody wants to dig through it to find them. A generic AI chatbot doesn't know your specific content, so it either can't answer or makes things up.

Who it fits

A business or writer that wants a chatbot trained only on their own articles or documentation.

How it works

  1. The system reads through a collection of articles and pulls out the text
  2. The text is broken into pieces and converted into searchable AI embeddings
  3. Those pieces are stored in a vector database for fast lookup
  4. When someone asks a question, the system finds the most relevant passages and has AI write an answer from them
What you get

Instant answers pulled from your own articles

You get a chatbot that answers questions using only the content from your own articles and documentation.

What you get

A chat interface that answers questions using only your own content, with no made-up information.

What you need

An OpenAI API key and a Milvus vector 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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