Top Tweets for #graphDB
June 12, 2PM | κΉμ μ's AI-Ready Data Ep.3π¬
Start your AI Ready Data journey with readiness checks and Graph DB strategy.π¨βπ»
π
June 12, 2026, 2:00β3:00 PM
πhttps://t.co/q2jorEwzZz
#μμ½μ #encore #TalkIT #AIReadyData #DataReadiness #Ontology #GraphDB
Complex Network Analysis in Python β Recognize β’ Construct β’ Visualize β’ Analyze β’ Interpret: https://t.co/7sJx1GkhfM
ββββββ
#DataScientist #DataScience #AI #Semantic #ML #MachineLearning #LinkedData #GraphDB #NetworkScience #DataStorytelling
Complex Network Analysis in Python β Recognize β’ Construct β’ Visualize β’ Analyze β’ Interpret: https://t.co/WXKTAQgqR2
ββββββ
#DataScientist #DataScience #AI #Semantic #ML #MachineLearning #LinkedData #GraphDB #NetworkScience #DataStorytelling
Most business systems are broken into silos: Orders. Deliveries. Invoices. Payments.
No clear connection. No easy trace. Just scattered data.I built a system that turns this fragmented data into a connected graph π§
#AI #FullStack #GraphDB #NodeJS #ReactJS #LLM #SystemDesign
#Day47 Strike DSA + GenAI by @rohit_negi9
Today's Learning:
β’ Graph-based movie recommendations
β’ Embeddings & vector search
β’ Similarity scoring logic
β’ Indexing & fast retrieval
β’ Scalable system design#GenAI
#AI #RecommendationSystems #GraphDB #VectorDB
ArcadeDB v26.2.1 is full of surprises. Did you know we introduced a new SQL parser, built with ANTLR (instead of JavaCC) that is 75.9% faster?
https://t.co/9R2j4DX3fu
#multimodel #graphdb #sql
ArcadeDB 26.2.1 is out! Biggest highlights:
- @Neo4j Bolt protocol support - use standard Neo4j drivers
- Full @openCypher TCK compliance
- New SQL parser
- SQL Triggers (SQL, JS, Java)
- Scheduled Backups
200+ issues closed
https://t.co/vvBckoM6sW
#graphdb #multimodel
Complex Network Analysis in #Python β Recognize β’ Design β’ Construct β’ Visualize β’ Analyze β’ Interpret: https://t.co/7sJx1GkP5k
ββββββ
#DataScientist #DataScience #AI #ML #MachineLearning #LinkedData #GraphDB #NetworkScience
@MemgraphDB v3.8 is live π introducing Atomic GraphRAG! π
Now you can combine searches and knowledge graphs in a unified execution layer, the details under https://t.co/j1aksFYn1j
Want to see it in action? Join https://t.co/hHFCyWUiha
#GraphDB #GraphRAG #AI #Agents
5 Graph #Algorithms to know (because #KnowledgeGraphs are the future = βAll the world is a graphβ): https://t.co/0BenPp4Cgh
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#NetworkScience books:
1) https://t.co/fO47H5CeYk
2) https://t.co/2P5QQ0MlF4
ββ
#LinkedData #GraphDB #DataScience #AI #ML #RAG #LLMs #Python
Algorithms on Trees and Graphs (with Python Code): https://t.co/GHahR5Ryxz
ββββββ
#AI #MachineLearning #DataScience #ML #LinkedData #GraphDB #GraphAnalytics #KnowledgeGraphs #RAG #LLMs #DataScientist
Gen Ai with #Javascript
Topic:- How Graph DB π store Data internally
@rohit_negi9 Kuch project v kra do bhaya
Graph DB internals = pointers over joins π
Nodes + relationships stored directly β fast traversals, scalable reasoning.
#GraphDB #GenAI
4οΈβ£7οΈβ£ GenAI L15: Graph Databases β‘
graph databases intro π
βοΈ How systems like LinkedIn are designed
βοΈ Nodes β entities
βοΈ Relationships β real connections
βοΈ Problems solved via relationship-based thinking
#GenAI #GraphDB
@rohit_negi9
Lecture16 β
of #GenAI with @rohit_negi9
#strike
Today I learned π
β’ Graph DB internals
β’ How addresses are stored in arrays
β’ How linked lists use references
β’ Why relationship building is hard in RDBMS
Social media = graph problem
#GraphDB #DSA #LinkedList #TechLearning
Lecture 15 of Strike (DSA + GenAI) by @rohit_negi9 π
Learned how platforms show content to new users using First Thought Principle & why Graph Databases are needed for complex relationships.
#DSA #GenAI #FirstPrinciples #GraphDB #Learning
Design and Build Enterprise #KnowledgeGraphs at https://t.co/w35mJ05e3Z by @juansequeda @oralassila
βββ
#Semantics #AI #MachineLearning #DataScience #RDF #LinkedData #GraphDB #RAG #LLMs
Algorithms on Trees and Graphs (with Python Code): https://t.co/GHahR5Ryxz
ββββββ
#AI #MachineLearning #DataScience #ML #LinkedData #GraphDB #GraphAnalytics #KnowledgeGraphs #RAG #LLMs #DataScientist
Complex Network Analysis in #Python β Recognize β’ Design β’ Construct β’ Visualize β’ Analyze β’ Interpret: https://t.co/7sJx1GkhfM
ββββββ
#DataScientist #DataScience #AI #ML #MachineLearning #LinkedData #GraphDB #NetworkScience
ArcadeDB v26.1.1 is out! New Native OpenCypher Engine, huge LSM Vector updates (Quantization, PQ and much more), 92 total issues resolved (!)
https://t.co/K96sRl1TGB
#ArcadeDB #GraphDB #OpenCypher #VectorSearch #Database #OpenSource
"Graph #NeuralNetworks β Foundations, Frontiers, and Applications" at https://t.co/QLfmuqK0ZW
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Do it with #Python: https://t.co/zbGPC5Vlql
ββββ
#DataScience #DataScientist #GraphDB #LinkedData #KnowledgeGraph #AI #MachineLearni #DeepLearning #Algorithms l
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