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GenAIMindMapFlowBuilder

GenAI Mind Map Flow Builder uses LLMs (OpenAI & Google Gemini) to generate intelligent mind maps from diverse sources like PDFs, SQL, CSVs, media, and websites. Built with FastAPI and ReactJS, it visualizes key ideas and relationships for data analysis and knowledge discovery.

Install / Use

/learn @NextGenAILabs/GenAIMindMapFlowBuilder

README

🧠 GenAI Mind Map Flow Builder (Gnosis)

GenAI Mind Map Flow Builder is a cutting-edge, AI-powered tool designed to convert complex, multi-format data into structured, interactive mind maps. Powered by LLMs like OpenAI GPT-4o and Google Gemini, it allows users to process, query, visualize, and summarize knowledge extracted from diverse sources.

📺 Watch Demo on YouTube

IMAGE ALT TEXT HERE

🚀 Key Features

🔗 Multi-Source Data Integration

  • Upload or connect multiple data sources including:
    • Documents, csv, web pages, databases, images, audio, and video
  • Add unlimited data sources in one flow
  • Reuse and interlink previous answers

🧠 AI-Powered Mind Map Generation

  • Uses OpenAI GPT-4o and Google Gemini to:
    • Extract data insights and visualize them with graph and dataframes (tables)
    • Ask multiple questions on multiple data sources
    • Generate mind maps automatically for single data source
    • Prepare PDF Report for the entire flow

🧭 Two Mind Map Modes

  • Automatic Mode:
    • Upload any one source
    • Mind map and summaries are auto-generated with dataframes and graph visualization
  • Manual Mode:
    • Upload/connect multiple sources as you can
    • AI suggests follow-up questions based on context
    • You can:
      • Ask Answers on follow-up questions
      • Ask your own questions
      • Generate PDF report
    • AI replies in a 3-part format:
      1. 🧾 Answer
      2. 📊 Data Table / DataFrame (if applicable)
      3. 🌐 Graph (if applicable)

🔁 Cross-Source Questioning

  • Ask questions across:
    • Multiple sources
    • Previous AI responses
  • Link insights between different data nodes

📚 Mind Map to Report

  • Export entire flow as an AI-generated structured PDF report (Insights will be generated)
  • Auto-capture questions, answers, tables, graphs, and source traceability

📤 Export Options

  • Download/share mind maps as images or JSON
  • Export complete flow as a detailed report (PDF)
  • Print-friendly visualization

📁 Supported Data Sources

| Category | Supported Formats | |---------------|-------------------| | Documents | .pdf, .docx, .txt, .md | | Spreadsheets | .csv | | Presentations | .pptx | | Images | .jpg, .jpeg, .png, .webp, .svg | | Audio | .wav, .mp3, .aac, .ogg, .flac, .mpeg, .aiff | | Video | .mp4, .webm, .wmv, .flv, .mov, .3gpp, etc. | | Web Pages | Web URLs, HTML files | | YouTube | Public YouTube Video links| | Databases | SQL (MySQL, PostgreSQL, SQLite), etc


🖼️ Screenshots

🏠 Landing Page

Landing Page Landing Page Landing Page

📁 Create Flow & Add Sources

Add Sources Add Sources Add Sources

👤 Choose Agent / Persona

Choose Agent

🤖 Follow-Up Questions & AI Responses

Follow-Up Questions Follow-Up Questions

❓ Custom Q&A Interface

Custom Questions Custom Questions

➕ Add More Sources & Continue Flow

More Sources More Sources More Sources More Sources

🔁 Ask Questions on Previous Responses

Follow-up on Previous Nodes Follow-up on Previous Nodes

🧩 Visualize Complete Mind Map Flow

Full Mind Map Flow

🧾 Summarize Complete Flow

Flow Summary Flow Summary

⚡ Auto Mind Map from PDFs, Videos, and More

Auto Mind Mapping Auto Mind Mapping Auto Mind Mapping


🛠️ Tech Stack

| Layer | Tech | |--------------|------| | Frontend | ReactJS, CSS | | Backend | FastAPI (Python) | | AI Models| OpenAI GPT-4o, Google Gemini Pro | | Storage | Local File System, AWS S3 | | Database | MongoDB, SQLite | | Vector Store | ChromaDB (configurable) |


⚙️ Setup Instructions

🔁 Clone the Repository

git clone https://github.com/NextGenAILabs/GenAIMindMapFlowBuilder.git
cd GenAIMindMapFlowBuilder

🔧 Backend Setup (FastAPI + Poetry)

cd backend
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate (Windows)

pip install poetry
poetry install
uvicorn app:app --reload

💻 Frontend Setup (React)

cd frontend
npm install
npm run dev

🔐 Environment Variables

Create a .env file inside the backend/ folder:

# .env
mongo_db_url=
openai_api_key=
gemini_api_key=
aws_access_key_id=
aws_secret_access_key=
bucket_name=

Replace values with actual credentials.


🧪 Example Workflow

  1. Upload a .pdf, connect a SQL database, or paste a URL
  2. AI reads and summarizes data
  3. System builds a visual mind map
  4. Ask follow-ups, skip them, or ask custom questions
  5. Explore answers (text + table + graph)
  6. Export final report as a shareable PDF

🤖 AI Integration Details

| Model | Purpose | |----------------|---------| | OpenAI GPT-4o | NLP, summarization, Q&A, flow generation | | Google Gemini Pro | Multimodal input (text, image, video), deeper analysis |


💡 Inspirations


📝 LICENSE:

<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License</a>.


📬 Contact

📧 Email: nextgenailabs99@gmail.com

View on GitHub
GitHub Stars25
CategoryData
Updated23d ago
Forks5

Languages

Python

Security Score

80/100

Audited on Mar 5, 2026

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