#graphdatabases hasil pencarian
VIDEO: Fast-Tracking Your Graph Creation with Nodestream In this video, Amber Lennox walks you through turning your existing data into a graph database using Nodestream, then analyzing & exploring that data in G.V(). Get started: eu1.hubs.ly/H0pMfng0 #graphdatabases #neo4j
youtube.com
YouTube
Full Steam Ahead! Fast-Tracking Your Graph Creation with Nodestream
🚀 Excited to share our latest research: The Hybrid Multimodal Graph Index (HMGI)! How can we fuse semantic similarity with relational queries over multimodal data? Let’s explore. 👉 arxiv.org/abs/2510.10123 #GraphDatabases #VectorSearch #MultimodalAI
This week's headlines from the world of #graphdatabases and graph tech: * Meet #RyuGraph * #Dgraph finds a new patron * @bechbd from #AWS talks AI memory * Ontology design 101 * @Gephi Lite v1.0 is here (ICYMI) More in the link below! #Kuzu #Ontologies #AmazonNeptune #Graphviz
"We're pushing the absolute limits of what can be done with hardware." –Christos Giotis In this week's Knowledge Bite video, Christos Giotis from @EdinburghUni shares his work on Atlas, a hardware engine for graph databases. Watch below! #KnowledgeGraphs #graphdatabases
Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida
In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing
Neural #GraphDatabases @Michael_Galkin et.al. share what they call a new milestone in graph data management Thesis: neural reasoning maintains high expressiveness, supports complex logical queries like standard graph query languages towardsdatascience.com/neural-graph-d…
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
Graph databases like #NebulaGraph map the full network of interactions—likes, purchases, social connections, and browsing behavior—enabling truly personalized suggestions. 👉 Discover how #graphdatabases are redefining the future of #personalization: na2.hubs.ly/H01TRKl0
From personalized content creation to intelligent Q&A and automated knowledge synthesis, graph-powered #AIGC delivers not just speed, but depth, consistency, and trust.🚀 👉 Discover how #GraphDatabases are elevating AIGC: na2.hubs.ly/H01W9340 #NebulaGraph #KnowledgeGraph
We are excited to partner with #NODES2023, #Neo4j's ONLINE developer conference! On October 26, join us for 24 hours of free live talks. Don't miss out, sign up today! bit.ly/N23-PG #graphdatabases #graphs #datascience #ML #AI #NODES2023
G.V() Now Supports #RDF Triplestores + SPARQL! ✨ We’re excited to welcome RDF fans with an entire suite of initial vendors, including: @awscloud, @StardogHQ, @TENTRIS_DB, @OpenLink & more Full announcement here: gdotv.com/blog/gdotv-rdf… #graphdatabases #SPARQL #dataviz
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/Xo5nGp #GraphDatabases #AI
As #AI evolves from generating text to delivering trusted insights, pairing #LLMs with a graph-powered knowledge layer is necessary.💡 👉 Discover how #GraphDatabases are shaping the future of intelligent AI systems: na2.hubs.ly/H01RfC40 #NebulaGraph #GraphRAG #KnowledgeGraph
"Working with #graphdatabases has been a game-changer, and Neo4j continues to impress with its power and flexibility." - Nivedita Singh, Neo4j Data Engineer Join the 22,000+ certified devs proving their graph skills! Check out the free online course here👉…
Introducing the ArangoDB NetworkX Persistence Layer Massive graphs? No problem. ArangoDB scales to handle big data that would overwhelm NetworkX. Learn More :- okt.to/HctPdQ #GraphDatabases #AI
Explore the world of graph databases and their significance in modern software development. Uncover the power of graph data models with this insightful article: tinyurl.com/22dbv7s6 #GraphDatabases #Databases #technology #softwaredevelopment #NoSQL #Neo4j #AzureCosmosDB…
📚 How did #Pinterest achieve 10x lower latency & 50% cost savings by modernizing its graph service? 🚀 They migrated from Zen to PinGraph, powered by TiDB's #DistributedSQL. Read how they did it 👉 hubs.ly/Q02-XfXf0 #GraphDatabases #TiDB #DSQL
VIDEO: Fast-Tracking Your Graph Creation with Nodestream In this video, Amber Lennox walks you through turning your existing data into a graph database using Nodestream, then analyzing & exploring that data in G.V(). Get started: eu1.hubs.ly/H0pMfng0 #graphdatabases #neo4j
youtube.com
YouTube
Full Steam Ahead! Fast-Tracking Your Graph Creation with Nodestream
#NebulaGraph unified #KnowledgeGraphs that support intelligent applications, from precision marketing to real-time risk detection, with deep, cross-modal reasoning.🚀 👉 Explore how #GraphDatabases are unlocking the next era of #MultimodalAI: na2.hubs.ly/H023y900 #DataFusion
#VectorDatabases excel at semantic similarity—finding “things like this”🔍 #GraphDatabases reveal relationships—showing how things are connected.💡 👉 Understand when to use each and how to combine them effectively: na2.hubs.ly/H01YyyJ0 #NebulaGraph #AI #RAG #HybridSearch
G.V() Now Supports #RDF Triplestores + SPARQL! ✨ We’re excited to welcome RDF fans with an entire suite of initial vendors, including: @awscloud, @StardogHQ, @TENTRIS_DB, @OpenLink & more Full announcement here: gdotv.com/blog/gdotv-rdf… #graphdatabases #SPARQL #dataviz
Revolutionize your data querying process with natural language to Gremlin query conversion! 🔄🔍 #GraphDatabases #DataScience #ML #QueryGeneration aws.amazon.com/blogs/machine-…
With graph technology, companies can simulate “what-if” scenarios, trace component origins for quality control, and even predict bottlenecks before they occur.🔍 👉Learn how #GraphDatabases are transforming #SupplyChain efficiency: na2.hubs.ly/H01Wc6z0 #NebulaGraph #Logistics
🤠 The Indiana Jones of Graphs, @BarrasaDV, talks agents, #Neo4j & ontologies 🐍 @arcade_db joins the embedded #graphdatabases club 🔐 The 101 on #cybersecurity graphs Details: gdotv.com/blog/weekly-ed…
Graph databases like #NebulaGraph map the full network of interactions—likes, purchases, social connections, and browsing behavior—enabling truly personalized suggestions. 👉 Discover how #graphdatabases are redefining the future of #personalization: na2.hubs.ly/H01TRKl0
From personalized content creation to intelligent Q&A and automated knowledge synthesis, graph-powered #AIGC delivers not just speed, but depth, consistency, and trust.🚀 👉 Discover how #GraphDatabases are elevating AIGC: na2.hubs.ly/H01W9340 #NebulaGraph #KnowledgeGraph
Explore how knowledge graphs differ from graph databases—and when combining them strengthens your data strategy. Check out one of our most‐read posts bit.ly/4nLCIfn #KnowledgeGraph #graphdatabases #DataAnalysis #GraphVisualization
As #AI evolves from generating text to delivering trusted insights, pairing #LLMs with a graph-powered knowledge layer is necessary.💡 👉 Discover how #GraphDatabases are shaping the future of intelligent AI systems: na2.hubs.ly/H01RfC40 #NebulaGraph #GraphRAG #KnowledgeGraph
This week's headlines from the world of #graphdatabases and graph tech: * Meet #RyuGraph * #Dgraph finds a new patron * @bechbd from #AWS talks AI memory * Ontology design 101 * @Gephi Lite v1.0 is here (ICYMI) More in the link below! #Kuzu #Ontologies #AmazonNeptune #Graphviz
Graph DBs turn relationships into real-time insights—fraud, recs, knowledge graphs. When will you stop JOINing and start traversing? #GraphDatabases open.substack.com/pub/pythonlibr…
𝗜𝗕𝗠 𝗗𝗮𝘁𝗮𝗦𝘁𝗮𝘅 𝗚𝗿𝗮𝗽𝗵-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 in NYC Smarter inventory & real-time demand forecasting. What’s your biggest inventory challenge? @uequations | #NYCTech #GraphDatabases #EcommerceForecasting #UniversalEquations
𝗜𝗕𝗠 𝗗𝗮𝘁𝗮𝗦𝘁𝗮𝘅 𝗚𝗿𝗮𝗽𝗵-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 in NYC Smarter inventory, real-time demand forecasting & graph indexing best practices. What’s your biggest inventory challenge? @uequations | #NYCTech #GraphDatabases #EcommerceForecasting #UniversalEquations
Catch this week's edition on the blog or in your inbox: gdotv.com/blog/weekly-ed… #graphdatabases #datascience
One factory shuts down. Whole #supplychain freezes. ❄️ #Graphdatabases map the entire network — suppliers, parts, logistics — and show you the hidden risks before they blow up.🔍 Turn supply chain chaos into control. 🚀 👇 na2.hubs.ly/H01xm910 #NebulaGraph #RiskManagement
🚀 Excited to share our latest research: The Hybrid Multimodal Graph Index (HMGI)! How can we fuse semantic similarity with relational queries over multimodal data? Let’s explore. 👉 arxiv.org/abs/2510.10123 #GraphDatabases #VectorSearch #MultimodalAI
🚀🧠 Big news from @markrussinovich: Drasi now supports GQL—bringing the first new international DB language since SQL into continuous queries + change-driven systems. 👉 opensource.microsoft.com/blog/2025/10/0… #Drasi #GQL #GraphDatabases #OpenSource #Azure opensource.microsoft.com
opensource.microsoft.com
Drasi at one year: now with GQL for change-driven solutions
Drasi’s first year brings GQL support and community growth, empowering developers to build event-driven apps. Learn more.
In graph databases, elevating similarity search is vital. A multi-layered indexing approach enhances efficiency by navigating diverse data relationships. Each layer serves as a strategic lens, enabling rapid identification of analogous structures. #GraphDatabases #Indexing
Mark your calendars for June 1st and join us at the Data and Gen AI Nexus event! Ashok Vishwakarma, CTO at Impulsive Web, will discuss "Leveraging Graph Databases for Modern Data Challenges." #DataScience #GraphDatabases #GDGNoida
🚀 Excited to share our latest research: The Hybrid Multimodal Graph Index (HMGI)! How can we fuse semantic similarity with relational queries over multimodal data? Let’s explore. 👉 arxiv.org/abs/2510.10123 #GraphDatabases #VectorSearch #MultimodalAI
Explore how knowledge graphs differ from graph databases—and when combining them strengthens your data strategy. Check out one of our most‐read posts bit.ly/4nLCIfn #KnowledgeGraph #graphdatabases #DataAnalysis #GraphVisualization
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
Let's delve into what graph database is and its benefits: To know more, check out: quadrant-solutions.com/market-researc… #graphdatabases #knowledgegraphs #datamanagement #datainsights #datavisualization #dataanalysis #datadiscovery #datagovernance #semanticnetworks #frauddetection…
Revolutionizing real-time fraud detection with graph-based AI by Jessica Feng Learn more: hypermode.com/blog/real-time… #frauddetection #AI #graphdatabases
Just started learning Neo4j today! Excited to dive into the world of graph databases and unlock new insights from complex data relationships. 🚀 #Neo4j #GraphDatabases #DataScience #LearningJourney
Join us Feb 29, 1PM EST for a panel on Leveraging Graph Databases for Real-time #FraudDetection. Learn techniques to combat fraud, the application of graph data, & how to visualize patterns for real-time detection: ecs.page.link/SSn3Z #Aerospike #GraphDatabases #RealTimeData
Explore #AIGraphDatabases! Seamlessly integrate diverse data for actionable insights. Overcome fragmented sources hindering insights. rb.gy/cei5o4 #graphdatabases #ai #artificialintelligence #graphanalytics #datamanagement #datavisualization #machinelearning
Announcing @DgraphLabs support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #Dgraph #GenAI #graphdatabases
Weekly Blog Roundup from Wednesday: Announcing #Dgraph support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #googlecloud
Announcing #Dgraph support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #knowledgegraph
Saturday's are perfect for learning! Currently sat in with @OxfordConted, the amazing cohort and their GenAI, #Cloud and MLOps session for this week! Today is all about #GraphDatabases, very exciting to get the info straight from the source @neo4j! Excited to share more as…
Graph Databases: New Opportunities for Connected Data - freecomputerbooks.com/Graph-Database… A practical foundation for those who want to apply Graph Database to real-world business solutions. #GraphDatabase #BigData #GraphDatabases #datamodel #Neo4j #nosql #nonrelational #databases
Announcing #Dgraph support for @GoogleCloud's Gen AI Toolbox for Databases by @Shiva_Kharse Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #knowledgegraph
What do fraud detection, supply chain optimization, and real-time recommendations have in common? Pattern matching. Learn how #Cypher + #GraphDatabases make it faster and easier to spot what matters in your data. 👉 bit.ly/45JeXiH #Neo4j #PatternMatching #GenAI
Graph databases have emerged as a powerful tool for managing interconnected data, but not all are created equal. Join industry expert George Anadiotis and George Demarest as they uncover the key criteria for evaluating #graphdatabases in this #webinar. ecs.page.link/SKbzd
(Legally FREE) Graph Databases: New Opportunities for Connected Data - freecomputerbooks.com/Graph-Database… Look for "Read and Download Links" section to download. #nosql #GraphDatabases #GraphDatabase #sql #Database
Attending the @neo4j GraphSummit Copenhagen today. Quite inspirational intro by the CEO @emileifrem explaining the graph-property model. As Data Engineer and Database owner I can agree that #graphdatabases are the future.
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