Building the Document Context Layer for AI Agents — Jerry Liu, LlamaIndex
LlamaIndex positions itself as the document context layer powering RAG for AI agents in 2026.
“today we are essentially the main document infrastructure for AI agents”
LlamaIndex CEO Jerry Liu argues RAG in 2026 has evolved from naive top-K retrieval chatbots into 'agent armor plus a context layer,' where agents reason separately from how they interact with document context. He frames LlamaIndex as the core document infrastructure that lets increasingly capable agents unlock large troves of document-based data. It signals the maturation of retrieval tooling toward agent-native context layers, though it is largely vendor positioning.