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
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
po3rin
April 28, 2026
Programming
1.9k
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
1.4k
C-Shared Buildで突破するAI Agent バックテストの壁
po3rin
0
500
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
590
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
1.2k
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
Oxcを導入して開発体験が向上した話
yug1224
4
290
ADKを使って簡単にAIエージェントを作ってみよう
k1mu21
0
240
The Arts and Crafts of Work in the AI Era — Toward Mastery in Software Development
kuranuki
1
730
TSKaigi Night Talks 2026_TypeScriptでサプライチェーンの整合性を型に閉じ込める
geekplus_tech
0
320
LLM Plugin for Node-REDの利用方法と開発について
404background
0
160
Claspは野良GASの夢をみるか
takter00
0
170
Skillsは効率化、Agentsは"自分の拡張"——Builder時代のエージェント編成(CC Night 2026)
wemra
1
110
生成AI時代にこそ効くGo | Why Go Works in the Age of Generative AI
mom0tomo
8
3.2k
ユニットテストの先へ:テスト技法で要求・仕様を整理するJava開発実践 / Beyond_Unit_Testing_Practical_Java_Development_Techniques_for_Organizing_Requirements_and_Specifications
shimashima35
0
370
正しくソフトウェアを作る、前提を疑うための認知の視点 / doubt-premise
minodriven
17
6.2k
oxlintはeslint/typescript-eslintを置き換えられるのか
shomafujita
2
320
運用エージェントは "作る" から "育てる" へ - 記憶と自己進化の3層設計パターン / self-evolving-agents-three-layer-agent-design
gawa
12
3.5k
Featured
See All Featured
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
940
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
190
Unsuck your backbone
ammeep
672
58k
[SF Ruby Conf 2025] Rails X
palkan
2
1.1k
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
280
Automating Front-end Workflow
addyosmani
1370
210k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.5k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
250
1.3M
Fireside Chat
paigeccino
42
3.9k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
Un-Boring Meetings
codingconduct
0
310
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
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