Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
検索設計から 推論設計への重心移動と Recall-First Retrieval
Search
po3rin
April 28, 2026
Programming
2.1k
5
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
検索設計から 推論設計への重心移動と Recall-First Retrieval
po3rin
April 28, 2026
More Decks by po3rin
See All by po3rin
LLMで複雑な検索条件アセットから脱却する!! 生成的検索インタフェースの設計論
po3rin
4
1.5k
C-Shared Buildで突破するAI Agent バックテストの壁
po3rin
0
510
嗚呼、当時の本番環境の状態で AI Agentを再評価したいなぁ...
po3rin
0
600
Temporal Knowledge Graphで作る! 時間変化するナレッジを扱うAI Agentの世界
po3rin
7
2.3k
自作LLM Native GORM Pluginで実現する AI Agentバックテスト基盤構築
po3rin
2
1.1k
麻雀点数計算問題生成タスクから学ぶ Single Agentの限界と Agentic Workflowの底力
po3rin
5
3.1k
LLMOpsのパフォーマンスを支える技術と現場で実践した改善
po3rin
8
1.3k
LLMは麻雀を知らなすぎるから俺が教育してやる
po3rin
5
2.9k
M3におけるCI/CDパイプラインを新鮮に保つ仕組み
po3rin
0
440
Other Decks in Programming
See All in Programming
AIキャラアプリkaiwaの低遅延音声通話基盤をどう作ったか - AWS Gravitonで支える低遅延・低コストAI Agent基盤
mogamit
0
120
Webフレームワークの ベンチマークについて
yusukebe
0
180
Developing with AI Agents — Codex, Claude Code & Cowork Practical Guide
x5gtrn
PRO
0
1.3k
技術的負債解消で開発者の未来を開く- AIの力でコード刷新
kmd2kmd
0
120
作って学ぶ、 JSX (TSX) ランタイムの基本
syumai
7
1.7k
エンジニアと一緒にテストコードの設計と実装を改善した話
mototakatsu
0
230
Mujeres en SEO Summit 2026 - Greatest Disaster Hits en Web Performance
guaca
0
210
どこまでゆるくて許されるのか
tk3fftk
0
270
任せる範囲はこう広がった / How the Scope of AI Delegation Has Expanded
nrslib
0
190
IBM Bobを活用したレガシーアプリの最新化
oniak3ibm
PRO
1
220
Signal Forms: Details & Live Coding @enterJS 2026 in Mannheim
manfredsteyer
PRO
0
200
jQueryをバージョンアップする前に使いたいjQuery Migrate
matsuo_atsushi
0
610
Featured
See All Featured
The Art of Programming - Codeland 2020
erikaheidi
57
14k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
WENDY [Excerpt]
tessaabrams
11
38k
How to make the Groovebox
asonas
2
2.2k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
230
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
170
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.7k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
380
Code Review Best Practice
trishagee
74
20k
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
210
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
450
Transcript
ݕࡧઃܭ͔Β ਪઃܭͷॏ৺Ҡಈͱ 3FDBMM'JSTU3FUSJFWBM
)JSPNV/BLBNVSB )JSPNV /BLBNVSB QPSJO "*.-0QT&OHJOFFS *OUFSFTUJOHJO *OGPSNBUJPO3FUSJFWBM /BHPZB6OJW .
*OD -BZFS9*OD (SBEVBUF4DIPPMPG4DJFODF "*ɾ.-5FBN.-0QT%BUB&OHJOFFSJOH "*69.-0QT5FDI-FFE "*69.-0QT5FDI-FFE d
1 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM TODAY'S THESIS RAG ͷ࣭վળͷॏ৺ɺ ʮݕࡧઃܭʯ͔Β ʮਪઃܭʯҠΓͭͭ͋Δɻ ͦͷసͷഎܠɾख๏ɾͦͯ͠ Recall-First
Retrieval ͱ͍͏ઃܭࢥΛཧ͠·͢ɻ
2 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
ݕࡧઃܭͷຽओԽͱɺͦͷนɻ ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
3 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM RAGͷ ࣮ඪ४Խ͞Εͨɻ CHAPTER 1 · DEMOCRATIZATION
4 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM ͔͠͠ݕࡧͷνϡʔχϯάऴΘΒͳ͍ɻ CHAPTER 1 · THE WALLS
ݕࡧઃܭ͔Βɺਪઃܭ ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
6 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM • LLM ͕ेڧ͚Εɺݕࡧଆ͕ᘳͰͳͯ͘࠷ऴճ ͷ࣭อͨΕΔɻ • BM25 ͷΑ͏ͳݹయతΩʔϫʔυݕࡧͰɺจॻηο τ͕ἧ͑
LLM ͕ิ͢Δɻ • hybrid + rerank ͷΑ͏ʹݕࡧଆΛް͘͢Δඅ༻ରޮՌ LLM ͕ڧ͘ͳΔ΄ͲബΕΔɻ Keyword Search Is All You Need CHAPTER 2 · EVIDENCE ڧྗͳ LLM Λલఏʹ͢ΕɺBM25 ʴ LLM ͚ͩͰ hybrid + rerank ʹඖఢ͢Δ࣭͕ग़Δ͜ͱΛ࣮ূ [1]ɻ
7 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM CHAPTER 3 · CONDITIONS ॏ৺͕ಈ͘3ͭͷ݅ɻ
8 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM CHAPTER 3 · The Bitter Lesson RICH SUTTON
· 2019 ʮظతʹɺ൚༻తͳܭࢉΛ εέʔϧͤ͞Δํ๏͕ɺ ਓ͕ؒखͰΈࠐΜͩࣝΛӽ͑Δɻʯ The Bitter Lesson [2]
ਪઃܭͷͭͷख๏ɻ ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
9 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
10 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
11 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
12 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM • Recall-FirstͰͱ͖ͬͯͨυΩϡϝϯτΛਫ਼ಡ͢ΔͨΊͷίϯϙʔωϯτͱͯ͠ར༻͢Δ ࠷ۙLLM WikiͳͲNavigateϕʔεͷख๏ͷఏҊ͕૿͖͑ͯͨ
3FDBMM'JSTU3FUSJFWBM ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
13 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
14 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM TRADE-OFFS ͨͩ͠ɺ ۜͷؙͰͳ͍ɻ
1 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM
16 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM ͱ͍͏Λٕज़ॻయͰॻ͖·ͨ͠ https://techbookfest.org/product/jbe1zdnjqbb6cHwebRhapn?productVariantID=3VefBkLxtiAHJr1vAHjJMY
17 ݕࡧઃܭ͔Βਪઃܭͷॏ৺Ҡಈͱ3FDBMM'JSTU3FUSJFWBM References 1. Keyword Search Is All You Need
(AmazonͷݚڀνʔϜʹΑΔൃද) 1. URL: https://www.amazon.science/publications/keyword-search-is-all-you-need-achieving-rag-level-performance-without-vector-databases- using-agentic-tool-use 2. Bitter Lesson 1. http://incompleteideas.net/IncIdeas/BitterLesson.html 3. Search-o1 (Agentic Searchͷදతͳ࣮) 1. arXiv: https://arxiv.org/abs/2501.05366 4. SPD-RAG (Sub-agent Per Document RAG) 1. arXiv: https://arxiv.org/abs/2603.08329 5. PageIndex (Vectorless RAGͷ۩ମతͳ࣮) 1. URL: https://pageindex.ai/ 6. SRLM (Self-Re fl ective Program Search) 1. arXiv: https://arxiv.org/abs/2603.15653
ݕࡧઃܭ͔Β ਪઃܭͷॏ৺Ҡಈͱ 3FDBMM'JSTU3FUSJFWBM