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
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.
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…
246 Followers 323 FollowingFull stack developer. Passionate about automation, AI, and building real things.
Always learning, sharing, and finding meaning in simple moments.
692 Followers 466 FollowingLDBC is a non-profit organization that creates graph processing benchmarks and aids the adoption of standard graph query languages (SQL/PGQ and GQL)
733 Followers 501 FollowingDatabase engineer @StardogHQ. Graph query planning, optimisations, evaluation -- all that stuff. University of Manchester alum. Endurance cyclist. Immigrant.
6K Followers 7K FollowingA developer on a journey to build a FOSS, local-first, block-based knowledge workspace using standoff markup & hypergraphs. INTJ. 🦋 https://t.co/XRknP9ZrTD
637K Followers 35 FollowingWe're an AI safety and research company that builds reliable, interpretable, and steerable AI systems. Talk to our AI assistant @claudeai on https://t.co/FhDI3KQh0n.
6K Followers 3K FollowingConnecting Data, People & Ideas since 2016. Using relationships, meaning, context in Data to achieve great things #KnowledgeGraph #GraphDB #AI #SemTech
777 Followers 524 FollowingPostdoctoral Web researcher @IDLabResearch, @UGent — @imec_int, with focus on SPARQL querying and Web decentralization. MC modding @kroesermc.
320 Followers 229 FollowingKnowledge Graph for visionaries. From scattered knowledge to structured intelligence. Ground your AI in the truth of your own data. Data Graphs by @datalanguage
2K Followers 3K FollowingWe build #KnowledgeGraph management solutions and lead the way to data-driven Web applications.
LinkedDataHub: https://t.co/pGlS0zCpEu
2K Followers 2K FollowingThe creators and developers of RDFox, a high performance knowledge graph and semantic reasoning engine. https://t.co/AmHBorZmuz
746 Followers 897 FollowingOntopic provides services and products related to data access and data integration through Virtual Knowledge Graphs, allowing to maximize the value your data.
692 Followers 466 FollowingLDBC is a non-profit organization that creates graph processing benchmarks and aids the adoption of standard graph query languages (SQL/PGQ and GQL)
2K Followers 703 FollowingGraph technology specialist. Yes, that includes Semantic Technologies too; PhD in AI/KR; Co-host of https://t.co/TRLtxCH4JF
I work for @Neo4j.
3K Followers 1K FollowingMad about graphs, and machine learning/ai. Worked on and with Neo4j for 10,5y. Write/wrote about that on https://t.co/mirVAlXLC3. Now having fun at Hopsworks.
698 Followers 9 FollowingAn ultra performant, open-source, graph-vector database built in Rust 🦀. Built to be the brain for AI agents. Backed by @ycombinator (yc x25)
594 Followers 39 FollowingHume is an enterprise-level graph analytics solution that is easy to set up, maintain, and use. Proudly built by @graph_aware.
1K Followers 3 FollowingKeeping track of all things Graph Year over Year
Graph #Analytics #AI #GraphDB #KnowledgeGraphs
Newsletter, Report, Resources, News
By @linked_do
453 Followers 65 FollowingAn ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG.
Effectively overcoming the existing limitations of RAG for LLM
47K Followers 4K FollowingLeader in Graph Database & Analytics.
Developers: https://t.co/XrnpLCVglr. Our community: https://t.co/mWzXAcVzve
Same handle on all other platforms.