Slides: RAG is dead, right?? — Kuba Rogut, Turbopuffer

Source Video

RAG is dead, right?? — Kuba Rogut, Turbopuffer

Relationship To World's Fair 2026

These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

Related Scheduled Sessions

No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

Extracted Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.95
Text source: agent_vision.

Slide text:

Rag is dead, right??

How hybrid, tool-rich retrieval is becoming the default for serious agentic search

Kuba Rogut

Deployed Engineer

April 9, 2026

Engineering the future of AI

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/full.
OCR decision: ready — Content slide with a dense embedded product/chart screenshot and small UI text; OCR is likely better than manual transcription.

Slide text:

"RAGisdead"？ turbopuffer

Retrieval Aug onted Ge

Mar 1, 2021- Feb 27, 2026

AIE

lnterest over time

AIEngineer

EUROPE

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/border-trim/opencv-adaptive.
OCR decision: ready — Content slide with a dense comparison diagram and an embedded social/media screenshot; OCR is likely the efficient way to capture the body text.

Slide text:

from RAG to agentic retrieval turbopuffer

pattern Google Jeff Oean says bigger context windows alone are not enough Haldr. O - Hslow devrlope! tuyqns

★ + ★ AIE ★ From RAG - Agentic Rctrieval old -Stuff the prompt. Cross fingers - Retrieve once new -Search as needed - Reason in steps - Fetch what is useful Wmat matters is staged retrieval: lightweight mechanisms that narrow 3 trillion tokens down to 10 million, then to the mition you actually nood you don't need a trillion ot once, you noed the right mlion* Oelow_develops!

Retrieval is now iterative with tools

AlEngineer

EUROPE

Hidden Non-Slide Evidence

`slide-001.jpg` — speaker_stage confidence 0.98; Speaker standing at podium with audience visible; this is a stage shot, not a clean presentation slide frame.

Classification audit: raw/sources/slide-ai-classification/slides/UM6sFg_jdlE/audit.json

Slide-Derived Subjects To Review

Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.