Route questions to the right AI knowledge assistant automatically

Lets you build separate AI assistants for different sets of documents, then automatically asks the right one.

How the work actually flows

It repeats. Exactly one path is taken; repeats recheck indexing status.

Pattern: Structured Loop (21) · Exclusive Choice (4) · Transient Trigger (23)

flowchart TD trig>"someone asks a question"]:::trig s0["upload documents to assistant"]:::task s1["check indexing status"]:::task s2["route question to assistant"]:::task s3["generate grounded answer"]:::task trig --> s0 s0 --> s1 gx{"× which assistant fits question"}:::gate s2 --> gx p00["search its own documents"]:::task gx -->|"matched assistant"| p00 p10["remain unused"]:::task gx -->|"other assistants"| p10 jn{"○ answer generated"}:::gate p00 --> jn p10 --> jn jn --> s3 lp{"documents finish indexing"}:::gate s1 --> lp lp -. "recheck indexing status" .-> s0 lp -->|"finished"| s2 out[/"answer from correct assistant"/]:::out pay{{"faster answers without searching manually"}}:::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 stepOne path onlyPaths rejoinRepeat or finishResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGSurvey & Feedback
Connects
Contextual AIGoogle Gemini

The problem it solves

Your business has different types of documents, like product manuals, policies, or client files, and one AI assistant that knows everything about all of them isn't realistic. Right now, someone has to know which system or document to check before they can get an answer.

Who it fits

Teams that maintain multiple document libraries and want quick, accurate answers from the right one.

How it works

  1. You create a new assistant by naming it, describing its purpose, and uploading its documents
  2. The system processes and indexes the files, checking every 30 seconds until they're ready
  3. When someone asks a question, AI decides which assistant is best suited to answer it
  4. That assistant searches its own documents and generates a grounded, accurate answer
What you get

Questions routed to the right assistant automatically

Build separate assistants for each set of documents and every question gets sent automatically to the one with the right answer.

What you get

A direct answer to your question, pulled from the correct set of company documents.

What you need

A Contextual AI account and a Google Gemini API key.

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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