Answer questions more accurately with adaptive AI search

Classifies each question by type, then picks the best search strategy so your AI assistant gives more accurate answers.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"user asks a question"]:::trig s0["classify question type"]:::task s1["search knowledge base"]:::svc s2["write tailored response"]:::task trig --> s0 s1 --> s2 gx{"× what type of question"}:::gate s0 --> gx p00["run precise lookup"]:::task gx -->|"factual questions"| p00 p10["run broader search"]:::task gx -->|"open ended questions"| p10 jn{"○ merge search results"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"accurate tailored answer delivered"/]:::out pay{{"better ai answers without manual tuning"}}:::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 serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGAPI & Webhook Integration
Connects
Google GeminiQdrant

The problem it solves

A single search approach doesn't work well for every kind of question, so your AI tools sometimes give shallow or off-target answers. You want an assistant smart enough to search differently depending on whether someone is asking for a fact, an opinion, or a deeper explanation.

Who it fits

Best for businesses building an AI assistant or chatbot that needs to answer varied questions accurately from a knowledge base.

How it works

  1. A user asks a question through chat
  2. AI classifies the question as factual, analytical, opinion-based, or needing context
  3. It adjusts its search strategy to match that question type
  4. It searches your knowledge base using the adjusted strategy
  5. AI writes a response tailored to the original question
What you get

Answers sharpened to match the question

Your AI assistant adjusts how it searches based on the kind of question asked, giving you sharper answers from your knowledge base.

What you get

A more accurate, context-aware answer pulled from your knowledge base.

What you need

A Google Gemini API key and a Qdrant 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

Related automations

Keep an AI knowledge base updated from your Google Drive files

Documents in Google Drive automatically sync into a searchable AI knowledge base that answers questions accurately.

Advanced

Give customers instant, tailored answers from your knowledge base

An AI agent classifies each question and pulls a tailored answer from your own documents automatically.

Advanced

Keep an AI knowledge base updated from your Google Drive files

Turns your Google Drive documents into a searchable AI knowledge base and lets you refresh single files anytime.

Advanced

Automatically classify and route IT support tickets

Reads incoming IT support questions, classifies them, and routes each one to the right next step automatically.

Advanced
Back to the AI Playbook