What is LlamaIndex?
LlamaIndex is an open-source framework, founded in 2023 by Jerry Liu and Simon Suo and headquartered in San Francisco, for building retrieval-augmented generation (RAG) pipelines and data agents on top of LLMs. The core library is MIT-licensed and available in Python and TypeScript, covering data ingestion, indexing, query engines and agent workflows. The company also runs LlamaCloud, a hosted platform including LlamaParse (document parsing) and LlamaExtract (structured extraction).
Read the full overview
Sources checked 27 September 2026: LlamaIndex, GitHub repository, documentation.
Key capabilities
- Core framework: open-source Python/TypeScript library for indexing, retrieval and query engines.
- Agent workflows: primitives for building data-aware agents.
- LlamaCloud (paid): hosted LlamaParse and LlamaExtract for parsing and structured extraction.
- Integrations: connectors for common vector stores, LLM providers and data sources.
Test retrieval quality and parsing accuracy on your actual document formats before committing, since RAG quality depends heavily on chunking and embedding choices specific to your content. Check whether LlamaCloud's paid parsing is needed or the open-source ingestion connectors suffice.
Choose LlamaIndex when the primary problem is getting your own documents and data into a form an LLM can query accurately, rather than general-purpose agent orchestration. It overlaps with LangChain in places, and teams sometimes use both together. LlamaCloud's parsing and extraction services are a separate paid layer on top of the free open-source library.
LlamaIndex's value is reducing the plumbing needed to connect LLMs to real data sources, not the LLM itself. Licensing and scope are drawn from the LlamaIndex GitHub repository and official documentation, checked 27 September 2026.
Technical details
- Access
- Self-hosted
- Source model
- Open source
- Founded
- 2023
- Headquarters
- San Francisco, California, USA
- Pricing model
- Open source
- API
- Available
- Website
- www.llamaindex.ai ↗
Official resources
What to verify for your environment
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms with the publisher.
- Validate deployment, data location, access control, backup and recovery requirements.
- Test integrations, export paths and a representative operational workflow before committing.
ITHub profiles are discovery summaries. Read how product information is presented or report a correction.
Reviews of LlamaIndex
No published reviews yet.
Loading review form…
