LlamaIndex

LlamaIndex is an open-source developer framework for connecting AI models to company data. It supports retrieval-augmented generation, or RAG, which grounds a model's answers in specific documents rather than its general training. Teams use it to parse documents, build searchable indexes, and create agent workflows that pull facts from that data before answering. The company also sells LlamaCloud, a hosted service for document parsing and indexing at scale, with published usage-based pricing and listings on the AWS and Microsoft Azure marketplaces. LlamaCloud states SOC 2 and GDPR compliance with a HIPAA option, which matters for teams handling regulated documents.

This fits a team building an internal search or question-answering agent over a large set of documents, such as contracts, policies, or product manuals, where accuracy against the source matters more than open-ended conversation. A pilot with one document set, like an HR policy library, is a practical way to test parsing quality before expanding. The open-source framework is free; LlamaCloud's published tiers start with a free plan of 10,000 credits, a Starter plan near $50 a month with 40,000 credits, a Pro plan near $500 a month with 400,000 credits, and custom Enterprise pricing above that, as planning numbers rather than a quote. The main risk is document quality, since parsing errors in source files carry through to agent answers, so plan time to review output early.