LlamaIndex
A data framework focused on connecting LLMs to your own data, with strong document loading, indexing, and retrieval. It is a natural choice when the heart of your application is RAG over documents, and works with local models.
Strengths
- Deep, well-developed document handling and indexing
- Clean abstractions aimed squarely at retrieval
- Broad connectors for data sources and vector stores, local included
Weaknesses
- Less suited to complex agent orchestration than LangGraph
- Some advanced features push you toward its hosted cloud offering
- As with any framework, its abstractions can hide what is happening
At a glance
- Licence
- MIT
- Pricing
- Open core
- Platforms
- macOS, Windows, Linux
- GPU required
- No
Links
Entry last verified 30 July 2026.