Michael Hunger (@mesirii) of @neo4j, joins @sjmaple to unpack how graph databases inject structure, intent, and traceability into modern AI systems. On the docket: • why relationships in data encode intent • the black-box problem in vector based RAG • why devs should build…
RAG-Anything: An all-in-One RAG System LightRAG + Multi-Modal = RAG-Anything Modern documents increasingly contain diverse multimodal content—text, images, tables, equations, charts, and multimedia—that traditional text-focused RAG systems cannot effectively process.…
RDFox v7.4 is out now and it has a diverse array of incredible new additions! ✔️Apache Lucene™ integration ✔️SQLite integration ✔️Memory Optimisation ✔️Upgraded UI Design ✔️C and C++ APIs Full release notes: hubs.li/Q03wbDhb0 #RDFox #knowledgegraphs #tech #database #AI
If I had any kind of following i'd post this as a poll with an option 4. ??? 'cos i wanna know what gets other people's creative juices flowing
I often do my best problem solving / creative thinking while: 1. walking 2. in the bath 3. pacing back and forth by my desk (at home, not disturbing anyone)
its over, humans are cooked.
NEW: China launches its first humanoid robot soccer league in Beijing. This is way more entertaining than regular soccer. The AI-controlled robots were supplied by Booster Robotics for the tournament and have the skills of 5 to 6 year old children. Robots were seen getting…
Innovations in Knowledge Graphs, Graph Data Science and AI, Graph Databases, Semantic Technology and Ontology Connected Data London 2025 Call for Submissions Highlight The Connected Data London 2025 Call for Submissions is now open 🚀 connected-data.london/call-for-submi… If you are…
The Geometric Deep Learning textbook: Chapter 5 - Graphs In multiple branches of science, from sociology to particle physics,graphs are a fundamental model of systems of relations and interactions. Graphs give rise to a basic type of symmetry modelled by the group…
Just wanted to write a short 🧵 re: our recent paper on BARQ (vectorized #SPARQL engine in Stardog, link at the end). Vectorized joins for analytical queries are cool, but I'd like to comment a little on the other half of the paper, namely, how we plugged it into the product.
Super-useful! Once built a workflow engine around this exact capability, but this enables many use-cases.
In our multi-model database, events can be triggered by any change to the data in a record. Each trigger can see the before and after value of the record, enabling advanced custom logic using SurrealQL. Learn more in our docs. 👉 sdb.li/4kOBaAi
Why are major companies such as Google, Microsoft, Amazon, and others adopting #KnowledgeGraphs? 🤔 💡 Here are the intuitions behind Knowledge Representation & Reasoning, and why they offer more than traditional databases: hubs.li/Q02S1Tj70 #SemanticWeb #AISolutions
📄🔍 GraphRAG Contract Analysis A powerful solution combining GraphRAG and LangGraph agents to analyze legal contracts using Neo4j knowledge graphs, featuring benchmarks across multiple LLMs. Check out the full implementation guide ➡️ towardsdatascience.com/agentic-graphr…
LDBC will hold the next Technical User Community meeting in London on September 6, after the VLDB conference. The call for talks is open – submit your work on graph data management: ldbcouncil.org/event/twentiet…
Attention Devs and Data Scientists! 📢 We are delighted to announce #NODES2025, the annual Neo4j online developer conference for beginners and experts alike!🤩 This free 24-hour online conference features: 🎙️ Live sessions in all timezones ✍️ Hands-on workshops leading up to…
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