What LlamaIndex does
LlamaIndex is the leading open-source data framework for building large-language-model (LLM) applications that work with private and unstructured data. The project ships connectors to 160+ data sources, retrieval and indexing primitives, and an agent toolkit that together make Retrieval Augmented Generation (RAG) and knowledge-agent workflows simple to build. In 2025 the company launched LlamaCloud, a managed service that parses, indexes, and serves complex enterprise documents — PDFs, contracts, financial filings — at production scale, alongside LlamaParse for high-fidelity document parsing.
The platform has processed over 500 million documents, sees 4 million monthly package downloads, and serves more than 200,000 LlamaCloud users. LlamaIndex is widely deployed inside Fortune 500 companies for RAG over technical manuals, financial documents, customer support knowledge bases, and product data — anywhere unstructured data needs to be reasoned over by an LLM.
Who it's for
LlamaIndex targets AI engineers, data engineers, and ML platform teams building production RAG and agent applications. Its sweet spot is enterprises with large, messy document corpora that need to be made queryable by LLMs without rolling a bespoke retrieval stack.
Pricing
LlamaIndex's Python and TypeScript frameworks are free open-source. LlamaCloud is offered with a free starter tier and usage-based paid plans, plus an enterprise tier with SSO, data residency, and dedicated support.
Team & funding
LlamaIndex was founded in 2023 by Jerry Liu (CEO), a former Uber and Quora research scientist, and Simon Suo (CTO). The project began as an open-source notebook in November 2022 shortly after the launch of GPT and grew into a company in April 2023. LlamaIndex has raised approximately $27.5M total, including an $8.5M seed in 2023 led by Greylock and a $19M Series A in March 2025 led by Norwest Venture Partners with participation from Greylock and other existing investors.
Position vs competitors
LlamaIndex competes with LangChain and Haystack on the framework side and with Pinecone, Weaviate, and Vectara on the data infrastructure side. Its differentiation is the tight coupling between an open-source framework, a managed document-parsing cloud (LlamaParse), and an enterprise-grade indexing pipeline.