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
LangGraphで始めるマルチエージェントシステム
Search
peisuke
January 30, 2024
Technology
14
4.8k
LangGraphで始めるマルチエージェントシステム
生成AI新年会2024 LT資料
LangGraphで始めるマルチエージェントシステム
peisuke
January 30, 2024
Tweet
Share
More Decks by peisuke
See All by peisuke
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
peisuke
0
190
VGGT: Visual Geometry Grounded Transformer
peisuke
1
1.4k
AI for Kids:小学生に画像認識を教えてみた話
peisuke
1
73
Self-RAG: Learning to Retrieve, Generate and Critique through Self-Reflections
peisuke
9
1.6k
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
peisuke
0
13k
LangChain Toolsの運用と改善
peisuke
5
2.9k
GNeRF: GAN-based Neural Radiance Field without Posed Camera
peisuke
1
820
TTS Skins: Speaker Conversion via ASR
peisuke
0
430
A Quantum Computational Approach to Correspondence Problems on Point Sets
peisuke
0
770
Other Decks in Technology
See All in Technology
意外と知らない状態遷移テストの世界
nihonbuson
PRO
1
290
AIBuildersDay_track_A_iidaxs
iidaxs
4
1.4k
"人"が頑張るAI駆動開発
yokomachi
1
630
Agentic AIが変革するAWSの開発・運用・セキュリティ ~Frontier Agentsを試してみた~ / Agentic AI transforms AWS development, operations, and security I tried Frontier Agents
yuj1osm
0
100
日本Rubyの会: これまでとこれから
snoozer05
PRO
6
250
ペアーズにおけるAIエージェント 基盤とText to SQLツールの紹介
hisamouna
2
1.7k
Agent Skillsがハーネスの垣根を超える日
gotalab555
6
4.6k
Building Serverless AI Memory with Mastra × AWS
vvatanabe
0
630
Bedrock AgentCore Evaluationsで学ぶLLM as a judge入門
shichijoyuhi
2
280
Strands AgentsとNova 2 SonicでS2Sを実践してみた
yama3133
1
2k
Identity Management for Agentic AI 解説
fujie
0
500
コールドスタンバイ構成でCDは可能か
hiramax
0
110
Featured
See All Featured
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
0
130
Docker and Python
trallard
47
3.7k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
94
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
SEO for Brand Visibility & Recognition
aleyda
0
4.1k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
110
Mobile First: as difficult as doing things right
swwweet
225
10k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
340
My Coaching Mixtape
mlcsv
0
14
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
2.8k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
34k
Google's AI Overviews - The New Search
badams
0
870
Transcript
-BOH(SBQIͰ࢝ΊΔϚϧ νΤʔδΣϯτγεςϜ !QFJTVLF
None
-BOH$IBJOॲཧ͕γʔέϯγϟϧͱ͍͏՝͕͋Δ • $IBJOͰɺ"#$ͱ͍ͬͨॲཧΛߦ͏ • ྫɿݕࡧͯ͠ཁͯ͠༁͢ΔͳͲ • --.ͷΑ͏ʹᐆດͳೖग़ྗΛѻ͏έʔεͰɺదͳ݁Ռ͕ಘ ΒΕͳ͍͜ͱ͕ଟ͍ • ྫɿʮ౦ژͷҎ߱ͷਓޱͷਪҠΛग़ྗͯ͠ʯʹର͠ɺதؒ
ͷॲཧͰҎ߱ͷਪҠΛޡͬͯग़ͯ͠͠·͏ͱमਖ਼͕Ͱ͖ͳ͍
-BOH(SBQI • άϥϑͱͯ͠Ұ࿈ͷಈ࡞Λهड़͠ɺʮαΠΫϧʯͷॲཧΛѻ͑ ΔΑ͏ʹͨ͠ • ҰݸͷॲཧΛʮϊʔυʯͰද͠ɺ࣍ʹͲͷϊʔυΛಈ͔͔͢Λ ʮΤοδʯͰද͢ ௨ৗ'VODUJPO$BMMJOH
-BOH(SBQIͱϚϧνΤʔδΣϯτ • ෳͷϊʔυΛར༻͢Δ͜ͱͰϚϧνΤʔδΣϯτͷγεςϜ ͱͯ͠ར༻Ͱ͖Δ ৭ΜͳߏΛ࡞ΕΔ
ঢ়ଶʢεςʔτʣͱ • άϥϑશମͷใʢաڈͷձཤྺɺೖྗͳͲʣ • جຊతʹࣗ༝ʹهड़ͯ͠ྑ͍ • ޙʹઆ໌͢ΔϊʔυΤοδ͕ར༻͢ΔใΛೖΕ͓ͯ͘
ϊʔυͱ • Կ͔͠ΒͷॲཧΛද͢ʢྫɿ--.ɺ'VODUJPO$BMMJOHʣ • ؔͱͯ͠ఆ͓ٛͯ͘͠ • εςʔτΛೖྗ͠ɺॲཧ݁ՌΛฦ͢
Τοδͱ • ݺͼग़͠ݩͱݺͼग़͠ઌͷϊʔυΛهड़ • ݅ذ͕ඞཁͰ͋Εɺ݅ذͷ໊ؔهड़ TIPVME@DPOUJOVFؔͰ εςʔτΛೖྗͱͯ͠ɺ DPOUJOVF͔FOEΛฦ͢
Τοδͱ • ۩ମతͳ݅ذͷྫ ࠷৽ͷϝοηʔδ͕ 'VODUJPO$BMMJOHΛݺ ΜͰ͍Δ͔ΛνΣοΫ
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$ ユーザー:東京の天気は? Agent:{Function calling: 天気API, query: 東京}
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$ Agent:{Function calling: 天気API, query: 東京} EdgeはAgentの返答がFunction Callingかを判定、 Function Callingが呼ばれたので、Toolノードに遷移
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$ Agent:{Function calling: 天気API, query: 東京} Tool: {message: 晴れ} πʔϧݺͼग़͠
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$ ユーザー:東京の天気は? Agent:{Function calling: 天気API, query: 東京} Tool: {message: 晴れ} Agent: {message: 東京の天気は晴れ}
ಈ࡞ͷΠϝʔδΛղઆ • ఱؾΛௐΔΈΛఆ • "HFOUϊʔυͱɺ5PPMϊʔυΛ༻ҙ • "HFOUɺ5PPMΛݺͿ͔Ͳ͏͔ΛܾΊɺݺ ͳ͍߹ࣗવݴޠͰฦ • 5PPMɺఱؾ"1*Λݺͼग़ͯ͠ճ
"HFOU 5PPM &OE 4UBSU ఱؾΛௐΔ'$ Agent: {message: 東京の天気は晴れ} Agentの返答にFunction Callingが含まれな いので、END側のノードを呼び出す
ಈ࡞ͷΠϝʔδΛղઆ • Ϧαʔνͯ͠υΩϡϝϯτΛ࡞ΔΈΛͪΐͬͱ͚ͩ
ಈ࡞ͷΠϝʔδΛղઆ • Ϧαʔνͯ͠υΩϡϝϯτΛ࡞ΔΈΛͪΐͬͱ͚ͩ 全体統括者
ಈ࡞ͷΠϝʔδΛղઆ • ΤοδͷΈ͚ͩ؆୯ʹհ リサーチチームの結果は統括者に返す、 ドキュメントチームの結果も統括者に返す 統括者は次のチームをJSONを出⼒する 仕様、レスポンスのnextに応じて、次 のチームを決めてノードを動かす
ಈ࡞ͷΠϝʔδΛղઆ • Ϧαʔνͯ͠υΩϡϝϯτΛ࡞ΔΈΛͪΐͬͱ͚ͩ リサーチチーム ドキュメントチーム 全体統括者
ಈ࡞ͷΠϝʔδΛղઆ • ΤοδͷΈ͚ͩ؆୯ʹհ 先程と同様に、ノードの 結果を統括者に返す 先程と同様に、Search, Web Scraperのノードを 選択的に呼び出す
"VUP(FOͱͷҧ͍ • ݁ہͷͱ͜Ζશ෦ॻ͚ಉ͜͡ͱ͕Ͱ͖ΔΑ • ʮࣗવʹ͑ʯͱ͍͏લఏͰݸਓͷײΛड़Δ • ࡉ͔͘ॻ͘ɺҙͷॲཧΛ࣮ߦ͢Δͷ͕ۤखͦ͏ • ಛʹ"VUP(FOΑΓίʔυΛॻ͍࣮ͯߦ͢Δͷ͕PQUJPOBMѻ͍ •
ભҠΛ໌֬Խ͢Δ͜ͱͰɺ੍ޚ͕༰қʹͳΔ • ͋Δఔɺܾ·ͬͨۀϑϩʔͷࣗಈԽͰޮՌΛൃشͦ͠͏
·ͱΊ • -BOH(SBQIͷجຊతͳߏͱɺϚϧνΤʔδΣϯτͷࡍͷߏ ʹ͍ͭͯ؆୯ʹհ • ॲཧͷखॱΛৄࡉʹղઆɺΠϝʔδ͕͍ͨΒ͍Ͱ͢