Graded A+ on resilience. In Vannus's assessment it has not disclosed which model it runs — builds its own AI or is not captured by any single model provider.
Agent and document-workflow framework plus the LlamaCloud managed platform. LlamaParse, Extract and Index provide agentic document parsing, extraction and indexing for enterprise document agents and RAG; the underlying Python and TypeScript framework is open source. Deployment options published as SaaS with data encrypted in transit and at rest, private VPC across all cloud providers, and AWS and
Not disclosed. LlamaIndex does not publish which model it runs, so this criterion is excluded and the grade rests on what we could verify. We say so rather than guess.
This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This measures who can compel your data. A tool can score modestly on one and strongly on the other, and many do.
The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.
Vannus grades LlamaIndex against nine dimensions of trust — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →