semvec/pypi-packages huggingface dataset:
radiate-ai 0.1.1
The fastest way to add RAG to any Python app
License: MIT
Requires Python: >=3.9
Keywords: ai, embeddings, llm, ml, openai, rag, retrieval, semantic-search, vector-database

# radiate-ai
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**That's it.** No complex chains, no configuration hell.

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## 🎯 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

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## 📦 Installation

pip install radiate-ai

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**Requirements:**
- Python 3.9+
- OpenAI API key
- Qdrant Cloud account (free tier available)

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## 🔧 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.

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## 🛠️ Development Status

**Current Version:** 0.1.0-alpha (MVP in progress)

**Roadmap:**
- [x] Project structure
- [ ] Core ingestion engine
- [ ] Query API
- [ ] Multi-format support (PDF, MD, TXT)
- [ ] PyPI publication
- [ ] TypeScript version

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## 🤝 Contributing

This is an early-stage project. Issues and PRs welcome!

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## 📄 License

MIT License - see LICENSE file

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## 🔗 Links

- **Twitter/X:** Coming soon
- **Discord:** Coming soon
- **Docs:** Coming soon

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*Inspired by the simplicity of Vercel AI SDK and the power of LlamaIndex.*