Turn your product documentation into an AI question-answering assistant

Product manuals are indexed automatically so support staff can ask questions and get accurate, instant answers from an AI assistant.

How the work actually flows

A straight line. Runs once per one per documentation chunk.

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

flowchart TD trig[\"new documentation added"\]:::trigdata s0[["chunk and embed documents"]]:::mi s1[("store embeddings in database")]:::store s2(("agent asks a question")):::human s3[("retrieve relevant context")]:::store s4["ai writes the answer"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"accurate instant documentation answers"/]:::out pay{{"consistent answers without manual searching"}}:::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 Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAG
Connects
Google DocsOpenAIMongoDB Atlas

The problem it solves

Support agents burn time digging through long product manuals to answer the same customer questions, and answers can vary depending on who is looking. New documentation has to be manually re-searched every time it is updated.

Who it fits

Internal support teams and product specialists at companies with extensive product documentation.

How it works

  1. Product documentation from Google Docs is imported and split into smaller chunks
  2. Each chunk is turned into an AI embedding and stored in a searchable database
  3. A support agent asks a question in the chat
  4. The system finds the most relevant documentation and remembers recent conversation context
  5. GPT-4o-mini writes a direct, accurate answer based on that documentation
What you get

Support questions answered straight from your product manuals

Your support team gets instant answers pulled straight from your product manuals whenever they need them.

What you get

A chat assistant that answers documentation questions accurately and instantly.

What you need

A Google Docs account, an OpenAI account, and a MongoDB Atlas 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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