Build Real-Time Product Recommendation Engine with LLM #OpenAI and Graph Database @neo4j with detailed explanation on concepts! 🌟Repo: https://t.co/87y7KMhUIV 🚀Blog https://t.co/rlycWqFe2T #RealTimeRecommendations #LLM #GraphDatabase #Neo4j #AIRecommendations

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

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

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

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

#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

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.

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

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

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

🚀 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

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

#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

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

#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

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

Watch @Neo4j's video to discover how the seven enterprise graphs align your data with business reality, uncover hidden patterns, and drive transformation. 🔗 https://t.co/NCOkHq05HX – #AutoUS25 #GenerisAAS #AutomationSolutions #Neo4j #GraphDatabase #ConnectedData #DataAnalytics

#AI needs context. Data lives in silos. 🤔 How graph databases turn fragmented data into connected intelligence? Learn more👇 https://t.co/E8nBqOEvG0 #GraphDatabase #NebulaGraph #DataFusion #KnowledgeGraph

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