Top Tweets for #GRAPHRAG
AI-Powered Firewall Troubleshooting
Discover how GraphRAG, Neo4j, RAG & LLMs can automate network troubleshooting.
👉 Read the guide: https://t.co/69MU0escl3
💬 GraphRAG or RAG?
#GraphRAG #Neo4j #RAG #NetworkAutomation #AI
Check out the free ebook on: Essential #GraphRAG: Build a hybrid #RAG system for every question type!💡
Link: https://t.co/NBDG4cO9bo
@neo4j @alexandererdl @emileifrem
#Neo4j #GraphDatabase
Tune in to the @neo4j #EMEA Virtual #Workshop: Zero to Production
Link: https://t.co/gexqkp6TDc
@alexandererdl @emileifrem
#Neo4j #GraphDatabase #TechWorkshop #DeveloperCommunity
La próxima generación de sistemas agénticos probablemente no competirá únicamente por tener mejores modelos.
Competirá por tener mejores sistemas de memoria.
#AI #AgenticAI #RAG #GraphRAG #ArtificialIntelligence #LLM #rust
NebulaGraph Enterprise now supports LightRAG, enabling organizations to use #NebulaGraph as the graph database backend for enterprise GraphRAG applications. 🚀
🔗 Build your next-generation #GraphRAG applications with NebulaGraph Enterprise! https://t.co/4kYfbWD7rY
#AI #KG #LLM
Qdrant finds what's similar. Neo4j explains what's connected. The window only reads the 8 chunks both left standing.
A big context isn't a replacement for retrieval — it's permission to retrieve badly.
Evidence or bycatch: which was your last prompt?
#RAG #GraphRAG #LLMOps
EU AI Act trifft August 2026 — sind Sie konkret compliant? 5-Min-Selbsttest: https://t.co/NWWp3Uv5sv
GraphRAG retrieves the right facts.
It still can’t tell the agent whether acting on them is permitted.
Retrieval ≠ governance.
#GraphRAG #KnowledgeGraph #EnterpriseAI #AIGovernance #AIAgents
🚀 Pre-order now: Agentic GraphRAG by Anthony Alcaraz & Sam Julien (@OReillyMedia ) 📚
Build AI systems that think, reason, plan & act 🧠✨
388pg | ₹2,500 | ISBN 9789368082057
🔗 https://t.co/m5XexUUSx2
#AgenticAI #GraphRAG #EnterpriseAI #OReilly
The biggest barrier to agentic AI isn't the model.
It's the fact that enterprise knowledge is still trapped in documents.
Better agents start with better knowledge architecture.
Part 6 is live: https://t.co/o6ESabeh0T
#AgenticAI #EnterpriseAI #KnowledgeGraphs #GraphRAG
Built an Enterprise GraphRAG system with Neo4j. knowledge is retrieved through graph relationships:
Employee → Project → Customer
Employee → Manager → Department
Employee → Skill
LLM parses → Neo4j retrieves → Groq generates.
🔗 https://t.co/bQ0Kq5pAQH
#GraphRAG
Can Knowledge Graphs make RAG more reliable?
I built an interactive Knowledge Graph app using Python, FastAPI, LangChain, React, and LLMs to find out.A crucial foundational step toward GraphRAG for true context-aware AI.
#KnowledgeGraph #GraphRAG #RAG #GenAI #LangChain #FastAPI
🧠 Azure’s Graph RAG now traverses the graph on every query—but more paths don’t guarantee better recall. If retrieval still misses the right evidence, you’ve just built a smarter detour.
https://t.co/ZCYFNcLcvc
#AzureAiSearch #GraphRag #CosmosDb #KnowledgeGraphs
Fusion #GraphRAG bridges the gap between LLMs and enterprise #AI by fusing #KnowledgeGraphs with advanced retrieval. It overcomes traditional RAG limitations, enabling precise, context-aware intelligence for reliable business applications. 🔗 https://t.co/PWHjmgVqvy
#NebulaGraph
A hands-on walkthrough with Akmal Chaudhri where he builds a full #GraphRAG pipeline with Spring AI and #Neo4j, using a Goodreads books-and-reviews dataset to combine vector search with graph traversal.
Beyond the working code, it flags the real gotchas that trip people up when wiring this up for the first time – like Spring AI’s default index naming and required node properties. Worth the read: https://t.co/WOG8VViNug
🧠 Your AI agent doesn't need to forget everything between tasks.
We've officially published the FalkorDB GraphRAG Community Node on n8n Cloud! 🎉
Read why knowledge graphs give AI agents real memory:
https://t.co/LWCJRjq8ry
#n8n #AIAgents #GraphRAG #KnowledgeGraph #FalkorDB
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