Give your AI chatbot deeper reasoning with a custom knowledge graph

Runs every chatbot question through your own knowledge graph first, so answers stay accurate and on topic.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"chatbot question submitted"]:::trig s0["query knowledge graph for context"]:::svc s1["generate enriched response"]:::svc s2["return answer to user"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"more accurate chatbot answer"/]:::out pay{{"deeper subject matter accuracy"}}:::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 stepAn outside serviceResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Chatbots & AssistantsKnowledge Base & RAG
Connects
InfraNodus

The problem it solves

Off-the-shelf AI chatbots sometimes give shallow or generic answers because they don't understand the specific relationships and logic in your field, and there's no easy way to correct that.

Who it fits

Businesses running a customer-facing or internal AI chatbot that needs real subject-matter depth.

How it works

  1. A question comes in through the chatbot
  2. The question is checked against your knowledge graph for relevant relationships
  3. The improved, more detailed question is used to generate a response
  4. The chatbot returns the enhanced answer to the user
What you get

Chatbot answers with real subject-matter depth

You get chatbot answers that stay accurate by drawing on your own knowledge graph first.

What you get

Chatbot answers that are more accurate and grounded in your own subject-matter knowledge.

What you need

An InfraNodus account with API access.

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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