Beyond RAG: Build a Relational Context Engine from Scratch

Official Schedule Context

Official Description

In this workshop we'll explore the importance of context engines in modern engineering workflows,

and we'll look at why traditional RAG techniques are no longer enough to deliver the context agents

need. We'll build a structured query engine that fills the gaps left by RAG, translating natural

language into validated database queries over GitHub PR and Issue data. We'll implement schema-aware

prompting, identity resolution, query validation, and error-driven retry loops, and you'll walk away

with a working query engine for your GitHub repository.

Related YouTube Video

Mergeable by default: Building the context engine to save time and tokens — Peter Werry, Unblocked (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

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.

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