LlamaIndex

About LlamaIndex

LlamaIndex (originally GPT Index) was created by Jerry Liu in 2022 and quickly became one of the two dominant frameworks—alongside LangChain—for building LLM applications that connect to and reason over custom data. While LangChain focuses on chaining LLM calls and agent tools, LlamaIndex specialises in the data ingestion, indexing, and retrieval side of the RAG (retrieval-augmented generation) problem. The framework provides abstractions for loading documents from dozens of sources (PDFs, websites, databases, APIs, SharePoint, Notion, etc.), parsing and chunking them intelligently, embedding them into vector representations, storing them in vector databases (Pinecone, Weaviate, Chroma, Qdrant, and many others), and retrieving relevant context at query time for LLM-powered responses. It supports advanced retrieval techniques including hybrid search, knowledge graph retrieval, and agentic retrieval. LlamaIndex is MIT-licensed and works with any LLM and vector database. For European enterprises, this means the framework can be deployed entirely on EU infrastructure using EU-sovereign components. Combined with an EU-sovereign LLM provider (Mistral, Nebius, OVHcloud) and an EU-hosted vector database, teams can build fully sovereign RAG systems. LlamaCloud is LlamaIndex's managed data pipeline service, providing hosted document processing, parsing, and managed indexes. LlamaCloud is US-hosted. For European businesses with data residency requirements, the self-hosted framework path is strongly preferred over LlamaCloud. LlamaIndex Inc. is incorporated in the United States and has raised venture funding. The company's business is primarily built around LlamaCloud and enterprise support.