LlamaIndex

LlamaIndex is the leading data framework for building retrieval-augmented generation (RAG) and LLM-powered applications. It connects LLMs to your private data—documents, databases, APIs—and makes it queryable with grounded responses. LlamaCloud (Feb 2026) is the managed platform with credit-based pricing: Free (10,000 credits/mo, ~1,000 pages), Starter ($50/mo, 40,000 credits, 5 users, 50 indexes), Pro ($500/mo, 400,000 credits, 10 users), and Enterprise (custom, volume discounts, SSO, hybrid deployment). 1,000 credits = $1.25. Credits consumed by parsing, indexing, and extraction operations. LlamaParse parses 90+ unstructured file types with layout-aware agentic parsing—handles complex PDFs with tables, charts, and multi-column layouts using vision models. LlamaExtract provides schema-based, LLM-powered structured data extraction. Premium mode with higher-fidelity parsing costs more credits per page. The open-source framework (MIT license) provides 160+ data connectors via LlamaHub, sophisticated indexing strategies (tree-based, keyword, knowledge graph, composable indices), and query engines that synthesize grounded answers. LlamaAgents enables one-click deployment of document processing agents. Enterprise-grade chunking and embedding pipeline for precise retrieval. Multi-modal support for text, images, and audio. Often used alongside LangChain—LlamaIndex for data ingestion/retrieval, LangChain for workflow orchestration.