Top Tweets for #GraphDb
Day 40 of #100DaysOfCode ๐
Spent some time learning more about Graph DBs today. Still a lot left to explore. ๐ง
Also trying to crack freelancingโmoving a bit slow, but Iโll get there for sure. ๐ช
#100DaysOfCode #GraphDB #Freelancing #Learning
I also built a web version!
Assemble Cypher query patterns step by step, watch matching subgraphs update, and explore connected information from a chosen node.
It runs in a PC browser, with no XR headset required.
#cypher #graphdb #neo4j
Todayโs hobby project: an AR interface for exploring graph data with Cypher queries. Build a query ladder to reveal matching subgraphs, or start from a service, incident, or engineer to explore connected information. A more immersive way to work with complex data.
Introducing Slater: the low-memory graph database built for read-heavy applications! Optimize your data processing while keeping resource usage minimal. Perfect for efficient analytics and insights. Discover the future of graph databases today! #DataScience #GraphDB
Your data is connected โ your database should be too. ๐ธ๏ธ FalkorDB is the AI-ready graph database built for GraphRAG, fraud detection & real-time analytics. Get it locally through DataX Solution, your authorized distributor.
๐ง [email protected] #FalkorDB #GraphDB #AI
ูู ุชุจุญุซ ุนู ุงูุนูุงูุงุช ุฃู
ุนู ุงูุชุดุงุจู ูู ุงูู
ุนููุ
๐ููุงุนุฏ ุงูุจูุงูุงุช #GraphDB ุชุชููู ูู ููู
ุงูุฑูุงุจุท ูุงูู
ุณุงุฑุงุช ุจูู ุงูููุงูุงุช.
๐#VectorDB ุชุชููู ูู ุงูุจุญุซ ุงูุฏูุงูู ูููู
ู
ุนูู ุงููุตูุต ูุงูุตูุฑ.
๐ูุงูุฃูููุ ุฏู
ุฌูู
ุง ูุจูุงุก ุฃูุธู
ุฉ ู
ุนุฑูุฉ ุฃูุซุฑ ุฐูุงุกู ู
ุซู #GraphRAG.
ููุณุชุง ุจุฏููููโฆ ุจู ุชูููุชุงู ู
ุชูุงู
ูุชุงู
#AI
Building a causal memory layer for AI agents using @hydra_db for #HackHydra
Problem: Vector DBs find similar memories but can't answer WHY.
Solution: Causal graphs store causeโeffect, not just facts.
#AgentMemory #CausalAI #GraphDB
In Today's Genai cohort we have covered
Neo4j for GraphDB , Cons of SQL / NoSQL
, Writing Cypher queries , Got a project to build as an assignment #chaicode #ai #LLMs #LearningInPublic #genai #graphdb #cypherqueries #openai #claude #gemini #javascript
If you're looking to bypass all the Noise, fake papers ๐ & 1-off AI generated Agentic #Harness/#Loop-->#Graph Engineering articles, NTM wasted time๐..
๐๐งต..read THE real deal from THE creators of @neo4j & source of #GraphDB knowlege ! @emileifrem @BarrasaDV
Below describes how for #MultiAgent #AI autonomous systems, an #Ontology becomes THE #EKL, deeply layered with Graph structures, as a formal, machine-readable ecosystem that explicitly defines a specific domain by its core concepts (classes), attributes (properties), along with the strict rules governing how they relate to one another..
.. where the #ontology acts as a deterministic semantic backbone and control layer, ensuring that AI agent teams share an identical, unyielding definition of reality. #Enjoy!
This post by @BarrasaDV is one of the best posts on real-world AI in the enterprise I've read this year.
As the AI Field CTO at Neo4j he's worked with hundreds of organizations to do agents at enterprise scale, and there's a clear pattern emerging.
Let me summarize! ๐งต๐
๐ Day 16 of My DSA + GenAI Learning Journey ๐
Today, I explored the internal working of Graph Databases and gained a deeper understanding of how graph data is stored and managed efficiently.
#GraphDatabase #GraphDB #GenAI #GraphRAG #KnowledgeGraph #ArtificialIntelligence #DSA
๐ DAY 15 | GenAI Learning Journey ๐
Topic Covered: Graph Databases & System Design Fundamentals ๐ง ๐
and to Aditya Tandon for the 100
The journey continues. ๐ช
#Day15 #GenAI #GraphDatabase #GraphDB #SystemDesign #ConsistentHashing #DataStructures #SoftwareEngineering
Complex Network Analysis in Python โ Recognize โข Construct โข Visualize โข Analyze โข Interpret: https://t.co/7sJx1GkhfM
โโโโโโ
#DataScientist #DataScience #AI #Semantic #ML #MachineLearning #LinkedData #GraphDB #NetworkScience #DataStorytelling
Complex Network Analysis in Python โ Recognize โข Construct โข Visualize โข Analyze โข Interpret: https://t.co/WXKTAQgqR2
โโโโโโ
#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 ๐ง
#AI #FullStack #GraphDB #NodeJS #ReactJS #LLM #SystemDesign
#Day47 Strike DSA + GenAI by @rohit_negi9
Today's Learning:
โข Graph-based movie recommendations
โข Embeddings & vector search
โข Similarity scoring logic
โข Indexing & fast retrieval
โข 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 โ Recognize โข Design โข Construct โข Visualize โข Analyze โข Interpret: https://t.co/7sJx1GkP5k
โโโโโโ
#DataScientist #DataScience #AI #ML #MachineLearning #LinkedData #GraphDB #NetworkScience
@MemgraphDB v3.8 is live ๐ introducing Atomic GraphRAG! ๐
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
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