---
title: "The Death of Keyword Search and the Rise of Agent-Readable Catalogs"
category: "talks"
date: "2026-06-30"
time: "11:10am-11:30am"
track: "Expo Stage 3"
room: "Expo Stage 3 SW"
speakers: ["Nixon Dinh"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Expo Stage 3"
scheduleRoom: "Expo Stage 3 SW"
scheduleLabels: ["Expo Stage 3", "Expo Stage 3 SW", "session", "confirmed"]
---
# The Death of Keyword Search and the Rise of Agent-Readable Catalogs

## Conference Context
- Date/time: 2026-06-30 · 11:10am-11:30am
- Track/room: Expo Stage 3 · Expo Stage 3 SW
- Speaker(s): Nixon Dinh
- Session type/status: session · confirmed

- Track: Expo Stage 3
- Room: Expo Stage 3 SW
- Session type: session
- Status: confirmed

## Session Description
As search shifts from classic keyword matching to more conversational experiences, product data quality becomes critical to LLM-powered retrieval. At PayPal, we tested how enriching traditional catalog data could help AI systems better find, understand, and rank products across large-scale commerce catalogs. We built a RAG-based AI judge to compare enrichment approaches and identify five patterns that consistently improved AI discovery results.In this talk, we'll share the evaluation framework, key lessons, and a practical approach for preparing enterprise data for conversational and agentic search.

## Media Evidence
No related AI Engineer channel video found yet.

## Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

### Media Signals
No linked video, transcript, or slide source has been attached yet.

### Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.

## Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

## People
- [[nixon-dinh]]

## Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.

## Synthesis
### Synthesized Breakdown
# The Death of Keyword Search and the Rise of Agent-Readable Catalogs ## Conference Context - Date/time: 2026-06-30 · 11:10am-11:30am - Track/room: Expo Stage 3 · Expo Stage 3 SW - Speaker(s): Nixon Dinh - Session type/status: session · confirmed - Track: Expo Stage 3 - Room: Expo Stage 3 SW - Session type: session - Status: confirmed ## Session Description As search shifts from classic keyword matching to more conversational experiences, product data quality becomes critical to LLM-powered retrieval. At PayPal, we tested how enriching traditional catalog data could help AI systems better find, understand, and rank products across large-scale commerce catalogs. We built a RAG-based AI judge to compare enrichment approaches and identify five patterns that consistently improved AI discovery results.In this talk, we'll share the evaluation framework, key lessons, and a practical approach for preparing enterprise data for conversational and agentic search. ## Media Evidence No related AI Engineer channel video found yet.

### Speaker And Company Context
- [[nixon-dinh|Nixon Dinh]] — role not listed at [[paypal|PayPal]].

### Topics Covered
- [[agentic-search]]

### Derived Links And Source Material

### Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.

### Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.