Beyond RAG: Build a Relational Context Engine from Scratch
Peter Werry
- When
- Monday, June 2912:10 PM – 1:10 PM · 60 min
- Where
- Track 7San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
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.
Speaker
Founding Engineer, Unblocked
Founding engineer at Unblocked working on context engines for modern engineering teams.
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- AI Security Engineer Foundations + CertificateMonday, June 29 · 9:00 AM – 11:00 AM · Track 5
- Total Recall: Agent Memory and Harness EngineeringMonday, June 29 · 9:00 AM – 11:00 AM · Track 6
- Open-Source Inference Engineering for the Agentic EraMonday, June 29 · 9:00 AM – 11:00 AM · Track 8
For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.