Markdown source

Building the Document Context Layer for AI Agents

Conference Context

Session 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.

Media Evidence

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

Evidence Graph

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Media Signals

Agent Reading Notes

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Transcript Status

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.

People

Supporting Slides

Slide Evidence

Synthesis

Synthesized Breakdown

Building the Document Context Layer for AI Agents ## Conference Context - Date/time: 2026-06-29 · 11:10am-11:30am - Track/room: Vision & OCR · Track 2 - Speaker(s): Jerry Liu - Session type/status: sponsor · confirmed - Track: Vision & OCR - Room: Track 2 - Session type: sponsor - Status: confirmed ## Session 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.

Speaker And Company Context

Topics Covered

Derived Links And Source Material

Novel Concepts / Clever Methods

Evidence Boundary

This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.