#graphdatabases ผลการค้นหา
"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
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
🚀 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
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
"I'm excited about the potential for semantic agents who are able inject semantics into graph operations." –David Hughes In this week's Knowledge Bite video, David Hughes from @EKConsulting shares his thoughts on #semantics, agentic #AI, #graphdatabases, and more. Watch below!
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
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
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…
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
"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👉…
Benchmark Battle: ArangoDB vs. Neo4j 💡 Discover how ArangoDB's Graph Analytics Engine (GAE) delivers up to 8x faster performance on graph computation tasks compared to Neo4j! 🔍 Read the full blog - okt.to/lZDBCq #GraphDatabases #Neo4j #DataScience #BenchmarkResults
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
New graph algorithm just dropped, public endpoints in #AWS Neptune, and more graph database news in this week's Weekly Edge via @gdotv_ltd: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics
Team @neo4j - looking good! neo4j.com/blog/neo4j-int… #graphdatabases
📚 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
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
The Weekly Edge is your fyp of videos, reads, repos, and more from across the graph technology ecosystem in the past seven-ish days: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #GQL
GQL, the new standard query language for #graphdatabases deserves a reference book! amazon.com/Getting-Starte… #graphdatabase #graphanalytics #neo4j #gql #ultipa #google #microsoft @Ultipa_Graph
The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025] Catch up with this week's graph tl;dr: eu1.hubs.ly/H0nycKq0 #cybersecurity #graphdatabases #graphtheory
![gdotv_ltd's tweet image. The Weekly Edge: @msftsecurity launches Sentinel graph, columnar graph databases, a classic Euler proof video from @3blue1brown & more [3 October 2025]
Catch up with this week's graph tl;dr:
eu1.hubs.ly/H0nycKq0
#cybersecurity #graphdatabases #graphtheory](https://pbs.twimg.com/media/G2WNKGNW4AAg_e4.png)
The Weekly Edge: The @GraphCouncil Has Spoken, @memgraphdb 3.5 Arrives, Preventing #FinCrime & More // by @bwmerkl @gdotv_ltd This week’s graph tech tl;dr: gdotv.com/blog/weekly-ed… #graphdatabases #Neo4j #Kuzu #GraphViz
The Weekly Edge: @MicrosoftFabCon announces Graphs in Fabric, catch us (and many others) at @DataDayTexas & More by @bwmerkl @gdotv_ltd Dive into this week’s graph tech tl;dr here: gdotv.com/blog/weekly-ed… #graphanalytics #edtech #graphdatabases
The Weekly Edge: The Weekly Edge: @Neo4j Infinigraph, #GQL on Azure Data Explorer, #GraphRAG at @TencentGlobal & More [12 September 2025] by @bwmerkl @gdotv_ltd Dive into the best graph tech news digest on the internet: gdotv.com/blog/weekly-ed… #graphdatabases #GQL #Neo4j
New graph algorithm just dropped, public endpoints in #AWS Neptune, and more graph database news in this week's Weekly Edge via @gdotv_ltd: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics
The Weekly Edge: Public Endpoints in @awscloud Neptune, Agentic #GraphRAG, New Graph Algorithm & More [5 September 2025] by @bwmerkl @gdotv_ltd Dive into this week’s graph tech news mixtape: gdotv.com/blog/weekly-ed… #graphdatabases #graphanalytics #neo4j
"I'm excited about the potential for semantic agents who are able inject semantics into graph operations." –David Hughes In this week's Knowledge Bite video, David Hughes from @EKConsulting shares his thoughts on #semantics, agentic #AI, #graphdatabases, and more. Watch below!
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
We are at #ConnectedData in London talking about #GraphRAG and #graphdatabases. Meet us! @Connected_Data
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
🚀 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
New Neo4j Infinigraph architecture "uses sharding to distribute graph’s property data across different members of a cluster. The graph stays logically whole, and applications scale without code changes or manual workarounds. "neo4j.com/press-releases… #graphdatabases
Revolutionizing real-time fraud detection with graph-based AI by Jessica Feng Learn more: hypermode.com/blog/real-time… #frauddetection #AI #graphdatabases
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
Announcing @DgraphLabs support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #Dgraph #GenAI #graphdatabases
Who uses Neo4j to uncover hidden relationships and patterns? Top 20 US banks, 5 of 5 top Pharmaceuticals, and many many more Fortune 100 companies. 🤩 @emileifrem at #GraphSummit2024 #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
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
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
Announcing #Dgraph support for @Google's Gen AI Toolbox for Databases Read more: buff.ly/3WXwsGN #GenAI #graphdatabases #knowledgegraph
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
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
Explore #AIGraphDatabases! Seamlessly integrate diverse data for actionable insights. Overcome fragmented sources hindering insights. rb.gy/cei5o4 #graphdatabases #ai #artificialintelligence #graphanalytics #datamanagement #datavisualization #machinelearning
(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
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…
Struggling to catch complex fraud patterns with traditional tools? #GraphDatabases can help you spot hidden connections, reduce false positives, and strengthen your AWS-native solutions. Grab our free ebook for more info: bit.ly/4lkt0zD @awscloud #Neo4j…
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