- Primary focus
- Open-source framework for LLM data retrieval and agents
- Deployment
- Self-hosted
- Source model
- Open source
- Pricing model
- open source
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- LlamaIndex is an MIT-licensed open-source framework (Python/TypeScript) for RAG pipelines and data agents on top of LLMs; LlamaCloud adds hosted document parsing and extraction.

| Attribute | ||
|---|---|---|
| Overview | ||
| Primary focus | Open-source framework for LLM data retrieval and agents | Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster. |
| Deployment | Self-hosted | Self-hosted |
| Source model | Open source | Other license |
| Pricing model | open source | paid |
| API available | Yes | Yes |
| Windows desktop | Not specified | Not specified |
| Mobile app | Not specified | Not specified |
| Overview | LlamaIndex is an MIT-licensed open-source framework (Python/TypeScript) for RAG pipelines and data agents on top of LLMs; LlamaCloud adds hosted document parsing and extraction. | Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC). |
| Explore further | ||
| Vendor website | Visit vendor ↗ | Visit vendor ↗ |
| ITHub profile | View full profile → | View full profile → |
- Primary focus
- Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster.
- Deployment
- Self-hosted
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC).
ⓘ Confirm technical details and prices with each vendor before making a decision.