@jerryjliu0: A full tour through RAG, document context, and AI agents - from 2023 to 2026 @hexapode gave a comprehensive 90-min work…
Summary
Comprehensive workshop slides tracing the evolution of RAG, document context, and AI agents from 2023 to 2026, covering pain points, reranking, agent loops, and document parsing challenges.
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Cached at: 05/25/26, 06:43 PM
A full tour through RAG, document context, and AI agents - from 2023 to 2026
@hexapode gave a comprehensive 90-min workshop at @aiDotEngineer Singapore last week that comprehensively traces through how topics like retrieval, agent loops, agentic workflows, and document understanding have evolved in the last 3 years.
We’re excited to share the 116-page slide deck online. If you’re seeing this for the first time, you’ll get a sense of how all AI patterns have evolved since the very beginning. Including the following topics: The 12 pain points of naive RAG The importance of reranking and query-rewriting How we’ve increased offloaded logic to the agentic loop as models improved (and coincidentally, the retrieval layer can get simpler) Retrieval being the bottleneck as agents improved Why document parsing is an extremely hard problem, even now in 2026 Exploring parsing outputs, from markdown to chunks to structured JSON metadata Modern agent form factors around workflows and deep research
If you’ve followed us or the space since the beginning, some of this will feel a bit nostalgic and will provide context on why our core focus today is narrowly focused on SOTA document parsing for agents.
If you’re seeing this for the first time, hopefully there’s some useful historical context in here!
Slides: https://drive.google.com/file/d/1IQ7G0aEyQQNBaxTBFkJ6YD-xvPZ5QM67/view?usp=sharing…
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