rnit-vanna 2.0.0

Enhanced wrapper for Vanna SQL generation library with custom utilities

RNIT Vanna - Enhanced SQL Generation (v2.0)

RNIT Vanna is an enhanced wrapper around the official Vanna library with custom utilities and smart dependency management.

🚀 New in v2.0: Choose Your Dependencies!

Minimal Installation (50 packages only!)

pip install rnit-vanna

✅ Core Vanna functionality ✅ Basic SQL generation ✅ All RNIT utilities ❌ No heavy ML dependencies unless you need them

Install What You Need

Use Case	Installation	Packages Added
OpenAI GPT	pip install rnit-vanna[openai]	+60 packages
Anthropic Claude	pip install rnit-vanna[anthropic]	+40 packages
Local LLMs	pip install rnit-vanna[local]	+30 packages
Just ChromaDB	pip install rnit-vanna[chromadb]	+50 packages
PostgreSQL	pip install rnit-vanna[postgres]	+5 packages
MySQL	pip install rnit-vanna[mysql]	+3 packages
Everything	pip install rnit-vanna[all]	+110 packages

💡 Why This Matters

Before (v1.0): Everyone downloads 110+ packages even if they only need basic features Now (v2.0): Download only what you need!

📦 Quick Start

For OpenAI Users

pip install rnit-vanna[openai]

from rnit_vanna import RNITVanna

vn = RNITVanna()  # Auto-detects OPENAI_API_KEY from environment
vn.connect_to_sqlite('my_database.sqlite')
sql = vn.generate_sql("Show all users")

For Anthropic Users

pip install rnit-vanna[anthropic]

from rnit_vanna import RNITVanna

vn = RNITVanna(config={'api_key': 'your-anthropic-key'})

For Local LLM Users (No API Key!)

pip install rnit-vanna[local]

from rnit_vanna import RNITVanna

vn = RNITVanna(config={'model': 'llama2'})

🎯 Enhanced Features

RNITVanna Class

• Auto-detects API keys from environment
• Optimized defaults for SQL generation
• Batch training support
• Training history tracking

VannaQuickStart

from rnit_vanna import VannaQuickStart

# Auto-setup and train from SQLite
vn = VannaQuickStart.for_sqlite('database.sqlite', auto_train=True)

# Create a sample project
VannaQuickStart.create_sample_project('my_sql_assistant')

DatabaseInspector

from rnit_vanna import DatabaseInspector

inspector = DatabaseInspector()
db_info = inspector.inspect_sqlite('database.sqlite')
print(inspector.generate_summary(db_info))

TrainingGenerator

from rnit_vanna import TrainingGenerator

generator = TrainingGenerator()
queries = generator.generate_basic_queries(table_name, columns)

🔄 Upgrading from v1.0

If you're upgrading from v1.0:

# Uninstall old version
pip uninstall rnit-vanna

# Install new version with the features you need
pip install rnit-vanna[openai]  # or [anthropic], [local], etc.

📊 Dependency Comparison

Installation	v1.0	v2.0 (minimal)	v2.0 [openai]	v2.0 [all]
Packages	110+	50	110	110+
Size	~200MB	~50MB	~150MB	~200MB
ChromaDB	✅ Always	❌ Optional	✅ Included	✅ Included
OpenAI	✅ Always	❌ Optional	✅ Included	✅ Included
Anthropic	❌ Never	❌ Optional	❌ Not included	✅ Included

🛠️ Development

# Clone the repo
git clone https://github.com/rnit/rnit-vanna
cd rnit-vanna

# Install in development mode with dev tools
pip install -e .[dev]

# Run tests
pytest

📝 Examples

Basic Usage (Works with minimal install!)

from rnit_vanna import DatabaseInspector, TrainingGenerator

# These utilities work even without OpenAI/ChromaDB!
inspector = DatabaseInspector()
db_info = inspector.inspect_sqlite('my_db.sqlite')

generator = TrainingGenerator()
queries = generator.generate_basic_queries('users', db_info['tables']['users']['columns'])

Full Featured (Requires [openai] or [all])

from rnit_vanna import RNITVanna, VannaQuickStart

vn = VannaQuickStart.for_sqlite('database.sqlite', auto_train=True)
sql = vn.generate_sql("Complex question about your data")
df = vn.run_sql(sql)

🤝 Contributing

Contributions welcome! Please feel free to submit a Pull Request.

📄 License

MIT License - see LICENSE file

🙏 Acknowledgments

Built on top of the excellent Vanna.AI library.

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Note: This is a wrapper that enhances Vanna. For core Vanna documentation, visit vanna.ai