LlamaIndex is the data framework for LLM applications focused on retrieval and RAG, used in production at Salesforce, KPMG, Deutsche Telekom, and many enterprise AI systems.
Source: GitHub · fetched 2026-04-17
LlamaIndex is a data framework for LLM applications released in late 2022 by Jerry Liu (originally as GPT Index). It is MIT licensed and available in Python and TypeScript. The project's focus is ingesting, indexing, and retrieving structured and unstructured data so LLMs can answer questions grounded in private context—the core RAG workflow.
The framework ships hundreds of LlamaHub connectors (PDFs, SQL, SaaS APIs, cloud storage, Notion, Confluence), multiple retrieval strategies (vector, hybrid, graph, recursive, multi-modal), and agent primitives. LlamaCloud, the commercial managed platform, offers hosted parsing (LlamaParse), indexing, and enterprise RAG infrastructure. Among AI engineers, LlamaIndex and LangChain are typically considered the two dominant RAG frameworks.
Public LlamaIndex adopters include Salesforce, KPMG, Deutsche Telekom, and many enterprise AI teams building RAG over internal document corpora. LlamaParse, the PDF-parsing product, is widely used inside financial-services, legal, and healthcare AI pipelines that need to extract structure from PDFs, tables, and scanned documents.
LlamaIndex users are AI/ML engineers building RAG systems, data engineers connecting LLMs to document corpora, backend engineers shipping enterprise copilots, and solutions architects in consulting firms deploying RAG for clients. These personas buy LLM APIs, vector databases, document-ingestion tools, and LLM observability.
According to the LlamaIndex README: “LlamaIndex is an open-source framework for building production-ready LLM applications over your data.” (source)
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LlamaIndex is used in production at Dropbox, ServiceNow, Uber, and hundreds of AI-first startups using LlamaIndex as the indexing and retrieval backbone for production RAG pipelines.
LlamaIndex, Inc. (formerly Jerry Liu's side project, now a venture-backed company). The core OSS library is MIT licensed at github.com/run-llama/llama_index. LlamaCloud is the managed enterprise offering.
LangChain (broader orchestration, more agents), Haystack (deepset, production-grade search pipelines), Ragas (evaluation), Chroma and Qdrant (vector databases), and direct OpenAI/Anthropic API with custom retrieval logic.
LlamaIndex has 1,925 contributors (GitHub, 2026/04). It is one of the more actively contributed open-source projects in its category, with contributions from both individual developers and corporate engineering teams.
Yes. LlamaIndex is production-ready: it has 48.7k GitHub stars, 1,925 contributors (GitHub, 2026/04), and is last released Apr 2026. It is used in production at large-scale organizations and has a mature release cadence.
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