LlamaIndex
Data framework for RAG and document agents.
Framework and cloud platform (LlamaParse, LlamaCloud) for ingesting, indexing and querying documents with LLMs.
- Vendor
- LlamaIndex
- Category
- LLM & RAG frameworks
- Pricing
- Open source
- Open source
- Yes
- License
- MIT
- Platforms
- Python, TypeScript
- Launched
- 2022
- Website
- llamaindex.ai
Features
- Document parsing
- Indexing
- Agentic workflows
Best for
- Research
- Extraction & classification
- Long context
More llm & rag frameworks
- LangChain — LangChain. The most widely used LLM application framework.
- AI SDK — Vercel. The TypeScript toolkit for AI apps.
- DSPy — Stanford NLP. Program — don’t prompt — language models.
- Haystack — deepset. Production-ready RAG pipelines.
- Instructor — Jason Liu & community. Pydantic-typed structured outputs from any LLM.
- Outlines — .txt (dottxt). Guaranteed structured generation with regex, JSON Schema and grammars.
- BAML — Boundary. A typed language for defining and testing LLM functions.