Explore tweets tagged as #GraphDatabase
I had been thinking of creating an open-source community/hub/Registry to help collect, share, and showcase good #GraphDatabase Dataset for #NebulaGraph. Finally, it's done this week/weekend! 🚀Announce Graph-Hub, the go-to Graph Dataset community. It comes with: - 📨Copy and
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Curious to see the difference between graph databases vs. relational databases? https://t.co/ta1dBTL6HL
#GraphDatabase #Neo4j #GenAI
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Catch our 'Implementing Agentic Memory' workshop recording: https://t.co/Mgfl44q4Tl Special thanks to Zep AI (YC W24) Graphiti, Gal Shubeli, Roi Lipman and all those who contributed! #AIAgents #GraphDatabase
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Build Real-Time Product Recommendation Engine 👍 with LLM #OpenAI and Graph Database @neo4j 🔗 repo: https://t.co/87y7KMhUIV 🔗 tutorial: https://t.co/rlycWqFe2T
#RealTimeRecommendations #LLM #GraphDatabase #Neo4j #AIRecommendations #GenerativeAI #KnowledgeGraph
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BREAKING TODAY! Memgraph to Offer a Unique Toolkit for Non-Graph Users to Jumpstart Their Journey to Full GraphRAG AI Capability -- https://t.co/RbvA6oNDR9
#AI #RAG #graphdatabase @memgraphdb
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Calling all graph database enthusiasts in Brisbane! 👋 Join us for Graph Database Meetup on June 12th! 🎉 ➡️Network with like-minded professionals ➡️Learn about the latest advancements ➡️Win SWAGs! Register now: https://t.co/NwGh5z0l5o
@neo4j
#GraphDatabase #Brisbane #Meetup
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Have you checked our Intro to #GraphDatabase videos? In this episode, learn how to use #Neo4j with your apps! Join Martin's hands-on session! ⚙️ Query your Neo4j graph with the Python driver 🧩 Usethe Neo4j GraphQL Toolbox or Query API 📈 Integrate Neo4j into your
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On October 26th, the #Nebulagraph community is hosting an event at #Ctrip. Join us to explore best-in-class #GraphDatabase applications in financial #RiskManagement and gain insights into Ctrip's strategies for #scaling Nebulagraph clusters.
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🚀 Arango evolves into a GenAI data platform — simple, scalable, fast. ⚡ Multi-model ⚡ GraphRAG + LLM ⚡ Deploy anywhere. 🎥 Replay 👉 https://t.co/ta6Z1KMEFm
#GenAI #GraphDatabase #AIInnovation #EnterpriseAI
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FalkorDB stands out in the latest Mentor report! With a current score of 834, it outperforms MySQL (791), PostgreSQL (681) and ClickHouse (822). FalkorDB’s focus on clean, efficient code, built for super low latency. #GraphDatabase #GraphRAG #LLM
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#GenAI loves unstructured data, but complex, structured databases are a tougher challenge. Discover how to: 🔹 Model hierarchies in a #GraphDatabase 🔹 Chat with your graphs via embeddings 🔹 Compare LLM accuracy 🔗 Watch now: https://t.co/icwlIVNyGO
#AI #LLMs #database #InfoQ
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🎙️ New pod! NODES 2025 highlights on music graphs and open source tools, plus an 8th grade career class, Langchain4j updates, and blog posts on Aura training and Cypher 25. 🎧Listen: https://t.co/dwqLAKeKmk
#GraphDatabase #AI #Neo4j #NODES2025 #Podcast
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GQL: Current status and future work for the property #graphdatabase query language ISO #standard GQL is the property graph database query language ISO standard, published in 2024. It is meant to promote interoperability, contributing to adoption #GraphDB #Database #EmergingTech
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Pinterest's legacy graph service struggled with scaling, high costs and slow performance. 🚀 Enter #TiDB: a solution that’s faster, more scalable & easier to maintain. Watch the full video here: 🔗 https://t.co/MX82pMRGo7
#GraphDatabase #Scalability
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#AI meets its perfect partner: the graph database. 🚀 By fusing AI with #NebulaGraph, enterprises turn siloed data into intelligent, actionable knowledge.💡 #GraphDatabase #DataFusion #KnowledgeGraph
https://t.co/i0urx2PhmL
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Have you ever wondered why you sometimes see a comma in a Cypher pattern? Let's take a closer look... @neo4j #neo4j #graphacademy #cypher #graphdatabase
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yFiles #Jupyter #Graphs for @Neo4j v1.5 is out! You can now fine-tune #AutomaticLayouts with the new node-to-cell mapping, making it easier to highlight key parts of your #Neo4j #data directly in Jupyter. #yFiles #DataVisualization #GraphDatabase
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Ontopic Studio 2024.1 is coming soon! As frequently requested by our users, we integrated into Ontopic Studio the ability to materialize relational data to #RDF. Stay tuned for more updates on new features of the upcoming release. #KnowledgeGraphs #graphdatabase
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Discover & Visualize Your Graph Database Schema in Just 2 Steps Understanding the schema of your #graphdatabase is essential to putting your next app into production, but it isn’t as easy as it should be🧵 #GraphDB #DataVisualization #DataModeling #Schema #Freebies
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