Building Your Own Deep Research with LangChain

Published on: September 23, 2025

Tags: #research #ai #agents


Core User Research Workflow

graph TD
    subgraph "Start"
        A[User Input: Research Question & Target Demographic]
    end

    subgraph "LangGraph Workflow"
        B(Configuration Node 
Generates interview questions) C(Persona Generation Node
Creates synthetic user personas) subgraph "Interview Loop" D(Interview Node
Conducts Q&A with a persona) E{Interview Router
All personas interviewed?} end F(Synthesis Node
Analyzes all interviews and generates insights) end subgraph "End" G[Output: Comprehensive Research Report] end A --> B B --> C C --> D D --> E E -- No --> D E -- Yes --> F F --> G

Optional Workflow with Follow-Up Questions

graph TD
    subgraph "Start"
        A[User Input: Research Question & Target Demographic]
    end

    subgraph "LangGraph Workflow"
        B(Configuration Node 
Generates interview questions) C(Persona Generation Node
Creates synthetic user personas) subgraph "Interview Loop (for each persona)" D(Interview Node
1. Asks standard questions in a loop
2. Asks one follow-up question) end E{Interview Router
All personas interviewed?} F(Synthesis Node
Analyzes all interviews and generates insights) end subgraph "End" G[Output: Comprehensive Research Report] end A --> B B --> C C --> D D --> E E -- No (Next Persona) --> D E -- Yes --> F F --> G

Source: How to Build Advanced AI Agents

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