The fastest way to add RAG to any Python app
Project description
radiate-ai
text
That's it. No complex chains, no configuration hell.
🎯 Features
- ✅ Zero-config ingestion - PDF, Markdown, TXT support out of the box
- ✅ Hybrid search - Combines dense + sparse retrieval for best accuracy
- ✅ Smart defaults - Works immediately, customize when needed
- ✅ OpenAI + Qdrant - Best-in-class embeddings + vector DB
📦 Installation
pip install radiate-ai
Requirements:
- Python 3.9+
- OpenAI API key
- Qdrant Cloud account (free tier available)
🔧 Configuration
Create a .env file:
OPENAI_API_KEY=your_key_here QDRANT_URL=your_qdrant_url QDRANT_API_KEY=your_qdrant_key
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📚 Documentation
Coming soon! For now, check examples/ folder.
🛠️ Development Status
Current Version: 0.1.0-alpha (MVP in progress)
Roadmap:
- Project structure
- Core ingestion engine
- Query API
- Multi-format support (PDF, MD, TXT)
- PyPI publication
- TypeScript version
🤝 Contributing
This is an early-stage project. Issues and PRs welcome!
📄 License
MIT License - see LICENSE file
🔗 Links
- Twitter/X: Coming soon
- Discord: Coming soon
- Docs: Coming soon
Inspired by the simplicity of Vercel AI SDK and the power of LlamaIndex.
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