LlamaIndex
by LlamaIndex · www.llamaindex.ai ↗
Open-source data framework for connecting LLMs to private data, powering retrieval-augmented generation and document agents.
framework open-source rag document-parsing
- Category
- Agents & Automation
- Business model
- Open (open weights/source)
- Availability
- Global
- Launched
- 2022-11
- Record updated
- 2026-07-29
- License
- MIT
- Founded
- 2023
- Headquarters
- US
Overview
LlamaIndex is an open-source data framework for connecting large language models to private data, specializing in retrieval-augmented generation and document agents. It provides data connectors, indexing, and query engines, with LlamaCloud and LlamaParse as hosted services for document parsing. The framework is free and open source.
Key features
- Data connectors and indexing for RAG
- Query engines over private documents
- LlamaParse for complex document parsing
- Python and TypeScript libraries
Use cases
- Building RAG over enterprise documents
- Question answering on PDFs and knowledge bases
- Document-processing agents
Pricing
The framework is free and open source; LlamaCloud and LlamaParse are usage-priced hosted services.
Frequently asked questions
What is LlamaIndex for?
LlamaIndex connects LLMs to private data for retrieval-augmented generation and document agents.
Is LlamaIndex open source?
Yes. The core framework is open source; LlamaCloud and LlamaParse are hosted paid services.
What is LlamaParse?
LlamaParse is LlamaIndex's service for parsing complex documents like PDFs into clean, structured text.
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Sources
This record was last reviewed on 2026-07-29.
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