Slides: Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer

Source Video

Benchmarking semantic code retrieval on Claude Code — 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.

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Extracted Slides

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AI slide classifier: content_slide confidence 0.93
Text source: advanced OCR rapidocr-live/border-trim/contrast.
OCR decision: ready — dense screenshot-style slide with small text and mixed elements

Slide text:

claude doesn't use semantic code search turbopuffer

Ethan Lipnik @EthanLipnik · Jan 30

Does anyone know why Codex and Claude doesn't use cloud-based

embeddings like Cursor to quickly search through the codebase?

AIE 68 18 658 ll 266K 口

@bcherny Boris Cherny

Early versions of Claude Code used RAG + a local vector db, but we

found pretty quickly that agentic search generally works better. It is also

simpler and doesn't have the same issues around security, privacy,

staleness, and reliability.

9:56 PM · Jan 31, 2026 · 1.1M Views

Engineering the future of Al

Hidden Non-Slide Evidence

`slide-001.jpg` — speaker_stage confidence 0.2; speaker at podium; projected title slide is background, not a readable presentation frame

Classification audit: raw/sources/slide-ai-classification/slides/zKk7sDMGDEQ/audit.json

Slide-Derived Subjects To Review

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