Chat assistant that answers questions from your data and the web

An AI chat assistant pulls answers from your own documents and current web search results in one place.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig>"question asked in chat"]:::trig s0["parse the question"]:::task s1["combine results from sources"]:::task s2["send answer in chat"]:::task trig --> s0 s1 --> s2 gx{"+ where to search for answer"}:::gate s0 --> gx p00["query internal database"]:::task gx -->|"search internal documents"| p00 p10["run live web search"]:::task gx -->|"search the web"| p10 jn{"+ combine results"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"combined answer delivered"/]:::out pay{{"accurate answers in one place"}}:::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 stepEvery pathWaits for allResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGSEO & Search Optimization
Connects
OpenAI

The problem it solves

You need answers that combine what's in your internal documents with what's happening right now, but checking both separately takes time. Standard AI chatbots don't know about recent events or your private information. Switching between your knowledge base and a search engine to piece together an answer is inefficient.

Who it fits

Teams and individuals who need quick answers that combine internal knowledge with current web information.

How it works

  1. Starts when someone asks a question in chat
  2. The assistant searches your internal document database for relevant information
  3. It also checks a live search engine for current, up-to-date facts
  4. AI combines both sources into one clear answer
  5. The answer is sent back in the chat
What you get

Answers that blend your files with the web

You get one clear answer that combines your own documents with the latest information online.

What you get

A conversational answer that blends your internal knowledge with current web information.

What you need

An OpenAI API key and a search engine data API.

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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