tiramisu-framework 0.1.2

AI-powered marketing analysis framework using RAG technology

🍰 Tiramisu Framework

AI-powered marketing consultancy framework using RAG (Retrieval-Augmented Generation) technology with strategic marketing knowledge.

📦 Installation

pip install tiramisu-framework

🚀 Quick Start

from tiramisu_framework.engine.analyzer import TiramisuAnalyzer
from tiramisu_framework.models.schemas import AnalysisType

# Initialize analyzer
analyzer = TiramisuAnalyzer()

# Analyze content
result = analyzer.analyze(
    content="Your marketing content here",
    analysis_type=AnalysisType.SOCIAL_MEDIA_POST,
    context="Additional context"
)

print(result.summary)

⚠️ Important: Data Setup

This framework requires marketing knowledge data to function.

Setup Your Knowledge Base

1. Add your marketing PDFs/documents to data/ folder
2. Run the indexing script to create FAISS vectors
3. The system will use your custom knowledge base

Note: This framework is designed to work with any marketing literature. Users must provide their own knowledge sources in compliance with copyright laws.

🏗️ Architecture

• FastAPI backend with RESTful API
• RAG System with FAISS vector store
• GPT Integration for intelligent analysis
• SQLite for conversation management
• Pydantic for data validation

📚 Features

• 8 types of marketing analysis
• Conversation context management
• Three Trees analysis framework (Roots, Trunk, Branches)
• Multi-perspective expert insights (Strategic, Execution, Technology)
• Structured JSON responses

🛠️ Development

# Clone repository
git clone https://github.com/tiramisu-framework/tiramisu-framework.git
cd tiramisu-framework

# Install dependencies
pip install -r requirements.txt

# Run API
python -m uvicorn api.main:app --reload

⚖️ Legal Disclaimer

This framework is a technical tool for marketing analysis. Users are responsible for:

• Providing their own knowledge sources
• Ensuring compliance with copyright laws
• Obtaining necessary permissions for any copyrighted materials used

📄 License

MIT License - See LICENSE file for details

👨‍💻 Author

Developed by Jony Wolff with Claude AI assistance

🤝 Contributing

Contributions welcome! Please open an issue or submit a PR.

📚 Setting Up Your Knowledge Base

Important: This framework does not include pre-loaded content. You must provide your own marketing knowledge sources.

Steps:

1. Add Your Documents:

   mkdir -p data/sources
   # Add your PDF/TXT files to data/sources/

2. Index Your Content:

   python -m tiramisu_framework.scripts.index_documents

3. Configure API Key:

   export OPENAI_API_KEY="your-key-here"

Recommended Sources:

• Marketing strategy books and articles
• Digital marketing guides
• Industry reports and case studies
• Your own proprietary content

Note: Ensure you have rights to use any content you add to the framework.