Explore tweets tagged as #GraphAI
@joinrepublic
Republic
14 days
Congratulations to @GraphAIOfficial on their lightning-fast Launchpad raise on Republic via Reg D!. GraphAi’s community raise met its goal in under 2 hours—driven by exceptional investor demand. The future of AI, blockchain, and real-world assets is being built now, and GraphAI
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@graphlinq_proto
GraphLinq Chain
21 days
GraphAI just launched a token on the GraphLinq Chain 🤖. Probably nothing 👀
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@snakajima
Satoshi Nakajima @MulmoCast
2 months
Claude + GraphAI で紙芝居を作る実験中。
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@earlyalpha_io
Alpha Mind 🧠
28 days
🔍 What is GraphAI @GraphAIOfficial?.GraphAI is a new crypto AI project that aims to deliver real-time blockchain intelligence to empower on-chain AI agents, especially those working with Real World Assets (RWAs). 🚀 What does that mean?.In simpler terms:. They’re building an
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@GalileoXAI
Galileo.XAI
18 days
With #GalileoXAI, you can automate full data workflows by chaining steps like #GDS algorithms, #UDFs, queries, and charts — all in one place. Everything comes together. And runs on schedule. 💡 Curious? Let’s talk. #ExplainableAI #GraphAI #ResponsibleAI #Automation
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@snakajima
Satoshi Nakajima @MulmoCast
6 months
映像付きpodcastの試作品です。台本の生成とtext2image用のプロンプトはClaude、音声はにじボイス、画像はGoogle Imagen3、エージェント・並列化はGraphAIを使っています。
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@Trnxhy
Trnxhy
20 days
🚨 $GLQ WARNING. Don't ignore established, undervalued projects w/ working products. @graphlinq_proto has GraphAI: cutting-edge tech. Another W for the no-code AI blockchain for Web3 automation 🫡. Vibe coding a token is mad crazy.
@graphlinq_proto
GraphLinq Chain
21 days
GraphAI just launched a token on the GraphLinq Chain 🤖. Probably nothing 👀
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@HisaUehara
hisashi uehara
2 months
久しぶりの投稿です。.年末に日本に帰国後、東京のとある会社でフィールドエンジニアとして働き始めました。.業務をこなすなかで、LLMを活用した「データ分析・レポート作成・RAG機能」を備えたアプリを #graphai を活用して作りたいと考えました。.勉強中の私にはCursor(AI editor)が役立ちました。
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@sukiya_darkness
佐藤慎吾 / Novelfy / Coachify / 株式会社SephirothicSystem
15 days
mulmocastすごいな。なんといっても速度が速い。.内部的に利用しているGraphAIが並列で生成AI関連のAPIを呼び出しているからだろうな。
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@graphlinq_proto
GraphLinq Chain
18 minutes
In the blockchain world, bridges play a vital role by connecting different networks and allowing assets to move smoothly between them. So, let’s jump in and see what the GraphLinq Bridge can do for you!. PS: We'll also explore how GraphAI 🤖 is involved in bridging.
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@Maxkaizo_
Maxkaizo
6 days
Exploring RAG with graphs in this week’s #LLMZoomcamp:.→ Parsed data with DLT.→ Extracted entities & relations using Cognee + ChatGPT.→ Stored in Kuzu graph DB.Hybrid retrieval just got smarter. #RAG #GraphAI #Cognee #DLT #KuzuDB #LLMOps
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@shr_f
福田志郎@AUTORO
17 days
Mulmocast すごいです。.プレゼン動画自動生成ツール Mulmocast を使う|福田志郎 #zenn #mulmocast #graphai.
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@graphlinq_proto
GraphLinq Chain
12 days
Setting up a DeFi arbitrage bot used to take:.❌ 300+ lines of code.❌ RPC headaches.❌ constant debugging.❌ server set up. Now?.🤖 Ask GraphAI:.“Find ETH/USDC arbitrage across Uniswap & Curve.”. The future of trading is prompt-based. 👇
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@GalileoXAI
Galileo.XAI
4 days
Enhance the quality and speed of credit risk assessment processes, cut losses, speed up decisions. #GalileoXAI turns traditionally slow, manual actions into an agile, data-driven workflow and turns complex financial data into clear, explainable answers. #CreditRisk #GraphAI
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@AITech365
AITech365
5 days
#Graphwise Launches GraphDB 11: Enables Organizations to Create an Enterprise-Wide Data Fabric for Reliable AI. #AITech365 #EnterpriseWideDataFabric #GraphAI #GraphDB #GraphDB11Graphwise #LargeLanguageModels #machinelearning #news #ReliableAI.
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@BioInfo
Justin H. Johnson
2 days
New preprint! GREmLN weaves gene-regulatory networks into transformer attention, training on 11 M scRNA cells to top cell-type & GRN benchmarks with just 10 M params. A big step for biologically aware AI. 👉 #SingleCell #GraphAI #Bioinformatics.
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@_nogu66
nogu
3 months
45行のyamlでチャットアプリ作れた. GraphAIを試してみたら、驚くほどシンプルな構文でアプリが動いた。. もちろん複雑な機能には工夫がいるけど、ノーコードでもコードでもない第3の選択肢としておもしろい。
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@mocryptoreal
Moe Crypto
5 days
@GraphAIOfficial GraphAI season loading.
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@GraphAIOfficial
GraphAI
6 days
How do you connect AI to this memory?.GraphAI gives you two options:. 1️⃣ Plug your LLM straight into the knowledge graph via RAG - pulling live, relevant context into every prompt. 2️⃣ Or, expose an MCP (Model Context Protocol) endpoint - letting other devs, dApps, or AI agents.
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