| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Open-source embedding database designed for AI applications with simple APIs and integrations with LangChain and LlamaIndex. |
| Pricing |
Pay-per-use ($$-$$$$) |
Free (Free) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Open-source
- Simple API
- LangChain integration
- Metadata filtering
- Persistent storage
- In-memory mode
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Very easy to use
- Open-source
- Great for prototyping
- Good integrations
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Limited scalability
- Newer project
- No managed cloud yet
- Basic features
|
