Building the Document Context Layer for AI Agents

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Official Description

AI agents are the new knowledge workers, but knowledge work depends on unstructured enterprise

context. ~90% of that data lives in the form of document containers - from human-native (PDFs, Word,

Pptx) to emerging agent-native formats (HTML, MD). Doing RAG in 2026 involves generalized agent

harnesses with tools, MCPs, and skills. In this world, every company building agents needs a

Document Context Layer, the bridge between their unstructured docs and the agents trying to reason

over them. This talk covers what that layer looks like in practice: from document understanding,

retrieval, and workflows, to areas yet to be explored — agent-native formats, versioning, editing,

permissions, and longer-running agents.

Related YouTube Video

Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

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Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.

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