Keywords AI
LlamaIndex vs R2R
Compare LlamaIndex and R2R side by side. Both are tools in the RAG Frameworks category.
Quick Comparison
 | ||
|---|---|---|
| Category | RAG Frameworks | RAG Frameworks |
| Pricing | Open Source | open-source |
| Best For | Developers building data-intensive LLM applications who need flexible ingestion and retrieval | Developers wanting a production-ready RAG system |
| Website | llamaindex.ai | sciphi.ai |
| Key Features |
|
|
| Use Cases |
| — |
When to Choose LlamaIndex vs R2R
- Building RAG pipelines from any data source
- Enterprise knowledge base creation
- Multi-source data integration for AI
About LlamaIndex
LlamaIndex (formerly GPT Index) is a data framework for connecting LLMs with external data sources. It provides connectors for 160+ data sources, document parsers, indexing strategies, and query engines that make it easy to build RAG applications. LlamaIndex supports advanced retrieval patterns including recursive retrieval, knowledge graphs, and multi-document agents. The LlamaCloud managed service handles document ingestion and parsing at scale.
About R2R
End-to-end open-source RAG engine with server, API, and pipeline pre-built. RAG to Riches.
What is RAG Frameworks?
Frameworks and tools for building retrieval-augmented generation pipelines—document parsing, chunking, indexing, and query engines that connect LLMs to your data.
Browse all RAG Frameworks tools →