| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Open-source vector database with built-in vectorization modules, hybrid search, and generative capabilities. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Open-source
- Hybrid search
- Built-in vectorizers
- Generative search
- Multi-tenancy
- GraphQL
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Open-source option
- Built-in vectorization
- Hybrid search
- Active community
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex configuration
- Resource intensive
- Learning curve
|
