| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Purpose-built vector database API for similarity search and retrieval-augmented generation at production scale. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium ($-$$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Vector search
- Serverless
- Sparse-dense
- Metadata filtering
- Namespaces
- Collections
- Hybrid search
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Easy to use
- Fully managed
- Fast queries
- Good documentation
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Can be expensive
- Vendor lock-in
- Limited query features
- No self-hosting
|
