Metadata-Version: 2.4
Name: tiramisu-framework
Version: 0.1.0
Summary: AI-powered marketing consultancy framework using RAG technology
Home-page: https://github.com/yourusername/tiramisu-framework
Author: Jony Wolff
Author-email: your.email@example.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: openai>=1.12.0
Requires-Dist: faiss-cpu>=1.7.4
Requires-Dist: numpy>=1.26.0
Requires-Dist: fastapi>=0.119.0
Requires-Dist: uvicorn>=0.27.0
Requires-Dist: pydantic>=2.6.0
Requires-Dist: pydantic-settings>=2.0.0
Requires-Dist: langchain>=0.1.0
Requires-Dist: langchain-community>=0.0.10
Requires-Dist: langchain-openai>=0.0.5
Requires-Dist: python-dotenv>=1.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Tiramisu Framework

AI-powered marketing consultancy framework using RAG technology.

## Installation
```bash
pip install tiramisu-framework
```

## Quick Start
```python
from tiramisu_framework.engine.analyzer import TiramisuAnalyzer

analyzer = TiramisuAnalyzer()
result = analyzer.analyze("Your marketing question here")
```

## 📥 Important: FAISS Index Installation

Due to size limitations, the FAISS index files are not included in the PyPI package.

After installing, download the index files:
```bash
# Download FAISS files (required for the framework to work)
curl -L https://your-storage-url/index.faiss -o ~/.tiramisu/index.faiss
curl -L https://your-storage-url/index.pkl -o ~/.tiramisu/index.pkl
```

Or contact the author for the complete package with FAISS included.
