Some event recordings are available here: https://github.com/hellovai/ai-that-works
🦄 ai that works: Agentic RAG + Context Engineering
🦄 ai that works
A weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy
RAG vs. Agentic RAG is the hot new debate at the forefront of AI Engineering. On this week's episode we'll dive deep on the differences, why it matters, and cut through the buzzword hype with hands-on whiteboarding and live working code.
We'll talk about the tradeoffs between deterministic retrieval and curated context engineering vs. the benefits of letting models assemble their context with tools.
Pre-reading
To prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:
Discord
Cursor or VS Code
Programming languages
Application Logic: Python or Typescript or Go
Prompting: BAML (recommend video)
Meet the Speaker 🧑💻
Meet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!
Meet Dex Horthy, founder at HumanLayer and coiner of the term Context Engineering. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.
Some event recordings are available here: https://github.com/hellovai/ai-that-works