Enterprise and data architects, data modelers, GenAI adopters, analysts, thought leaders, Graph RAG application builders, Microsoft, Palantir – everyone is talking about ontologies. Why, what is an ontology actually, and how is it related to graphs? I-ontology yi-specification esibonakalayo ye-conceptualization, nto leyo, kwakhona, iimeko, iingcebiso kunye nezinye izakhiwo ezininzi ezibonakalayo ukuba zibe kwindawo yeengcebiso kunye neengxaki ezininzi ezininzi. I-Ontology ibonise isakhiwo se-semantic elihlanganisa abantu, iinkqubo, iinkqubo, iinkqubo, iinkqubo kunye needatha kwi-ontology eyahlukileyo [sic]. Ukubandakanya idatha ye-real-world kwiintlobo ze-ontology, iintlobo kunye neengxaki zithunyelwe kwiintlobo zebhizinisi kunye neengxaki zebhizinisi, ukunika abantu kunye ne-AI ukubonisa kwinqanaba engaphezulu kunye neengxaki zebhizinisi ukufikelela, ukufikelela kunye nokwenza ngokucacileyo. The first paragraph is taken from the Umbhali weTom Gruber ngo-2009. Umbhali weGruber iye iye yenzelwe ngokubanzi kwe-definition ye-ontology kwi-context ye-computer kunye ne-information sciences, eyenziwa malunga ne-1993. ukufinyelela kwe-ontology kwi-Encyclopedia of Database Systems The second paragraph is taken from the Yenzelwe nguChafia Aouissi ngoNovemba 2025. I-Aouissi i-Sir Director Product Management Fabric IQ kwi-Microsoft. Post blog ukunceda i-Fabric IQ, isakhiwo esitsha se-semantic kwi-Microsoft Fabric Njengoko ngokuvamile kunokwenzeka xa izicwangciso ziquka ingxenye ye-mainstream discourse, kukho umngcipheko ethile phakathi kwe-rigor and adoption. Case in point - akukho kuphela i-Microsoft Fabric IQ, kodwa nangokuthi i-Palantir. Palantir has been floating the term “ontology” as the cornerstone of its architecture for a while. While this has Kwakhona, ngexesha elifanelekileyo, i-ontology iye yenzelwe ngokwenene. inikeza ukuhlaziywa kwegama, njengoko Juan Sequeda ibonisa When Palantir’s CEO, Alex Karp, lashed out at Michael Burry – “Big Short” investor who bet against Palantir and Nvidia – he wasn’t just defending his balance sheet, but also an idea. In Karp’s words, ontology now sits beside chips as the engine of AI. But if we take ontology seriously, Burry’s short might not be wrong, . I-J Bittner iingcingo Kwi-Year of the Graph, sincoma i-ontology kunye ne-knowledge graph definitions, izicelo, izixhobo, kunye nezilwanyana zemfundo. Umbala weContents Umzekelo we-O Ukutya kwi-graphs kunye ne-back again Imisebenzi ye-Knowledge Graph Applications on Scale I-ontology kunye ne-knowledge graph iinkcukacha, izixhobo kunye ne-education Iimpawu ezimbini ze "I-Semantic Layer" kunye neengoma ezimbini kubalulekile kwi-AI Graph databases: growing market, intensifying competition, more options Izixhobo ezintsha kunye nezifundo Unyaka le-Year of the Graph lithunyelwe nawe yi-metaphacts, i-Process Tempo, i-Lincurious, i-RDFox, i-Tentris, i-Connected Data London, i-State of the Graph kunye ne-Pragmatic AI Training. Ukuba ufuna ukuba ziyafumaneka kwi-edithi elidlulileyo kunye nokukhusela le nophando, ukufikelela! This issue of the Year of the Graph is brought to you by , , , , , and . metaphacts Process Tempo Linkurious RDFox Tentris Connected Data London, State of the Graph Pragmatic AI Training Ukucinga ixesha Process Ukucinga Ukucinga Ukucinga Connected Data London, I-State of the Graph Ukuqeqeshwa I-AI Pragmatic Ukuba ufuna ukuba ziyafumaneka kwi-edithi elidlulileyo kunye nokukhusela le nophando, ukufikelela! Neuro-symbolic AI: The key to truly intelligent systems Njengoko ungenza ubuncinane ubunzulu yakho ekusebenzeni, iinkampani akufuneka ukuthatha ubunzulu lwezinto ze-intelligent ye-artificial intelligence kwi-architectures zabo. I-Neuro-symbolic AI ibandakanya ubuchwepheshe ye-network ye-neural ezifana ne-LLM kunye ne-technology ye-symbolic ezifana ne-knowledge charts. Le ukuhlanganiswa, eyaziwa nangokuthi 'i-knowledge-driven AI', inika izinzuzo ezininzi: Ukucinga ● Iingcebiso ezibonakalayo kwaye zibonakalayo ezisekelwe kwiimeko ezibonakalayo ● Iinkonzo ze-AI ezibonakalayo kunye ne-AI agents ● I-LLM ezisemgangathweni ezinokuxhomekeke ekusebenzisweni kwimodeli ye-complex If you’re not exploring how knowledge graphs and symbolic AI can augment your organization’s intelligence—both artificial and actual—now is a good time to start. Qhagamshelana nenkqubo epheleleyo. The “O” word Umzekelo we-O Ukuba uqhagamshelane nabantu abasebenza kunye needatha, i-AI, okanye i-architecture yebhizinisi kunye nokufunda, "Yintoni i-ontology?", uya kufumana iimpendulo ezahlukileyo. Kuba ezinye, i-ontology yinkqubo yeedatha emangalisayo. Kuba nabanye, i-glossary yebhizinisi. Kuba nabanye, i-heart ye-knowledge chart. Zonke zibonakalisa, yaye lo mfuneko njengoko ku-Juha-Pekka Joutsenlahti. In “ “, Joutsenlahti gives a brief history of the concept of ontologies in IT and knowledge representation. He explains that different communities adopted “ontology” and bent it slightly towards their own needs, resulting in confusion. I-Demystifying ontologies Umgca ukunciphisa ukuxhaswa kubangela ngokuzenzakalelayo: Yintoni le-ontology yintoni? Yintoni i-ontology yintoni yintoni? Yintoni i-ontology yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni. “ I-GenAI yasungulwa ngo-2019. Phambi i-GenAI yaba nto, uMark Hall yenza isicelo esibonakalayo ye-ontologies kwaye ibonelela inkcazelo yokuba wonke umntu ayenza oku. I-O word: Ngaba ufuna kweli i-ontology? Ngoku, nguOle Olesen-Bagneux , ontologies are once again hot because they are key to succeeding with AI: ontologies provide context for AI to perform better. Thus, we are seeing the re-introduction of knowledge engineering as if it were new. Ukucinga Ulawulo lwezenzulululwazi kunye neBiblioteka Sciences, apho i-taxonomies, i-ontologies, kunye ne-knowledge graphs ziye ziye zithunyelwa, ziquka i-Juha Korpela ibonisa " “. Indlela Iimodeli zeDatha kunye ne-ontologies zihlanganisa ukwakha izakhiwo zakho ze-semantic I-Korpela ibonisa ukuba abantu abasebenza ngokwenene kunye ne-ontologies kunye ne-knowledge charts, awukwazi ukuxhaswa ngokubanzi ngeengxaki ezifana ne-data modeling, kodwa ukuxhaswa kunokwenzeka. Data modelers focus on the technical implementation of data solutions, thus following a path from Conceptual to Logical to Physical modeling. Even if concept models and ontologies are different, as Jessica Talisman , there is overlap. Conceptual modeling may be used to build an ontological foundation that acts as the context provider for agents and chatbots as well as humans. Ukucinga Bring your graph ideas to life! Ukwakhiwa kwigrafu lwezenzululwazi? Uya ufuna ukuba abantu usebenzise. Siza kukunceda! I-Process Tempo Jupiter yenza lula ukwakha izicelo ezininzi ezininzi zokusebenza kwi-diagram yakho ngaphandle kokubhala ikhowudi. Ngoku unokufumana iingcamango zakho ze-diagram ngokusebenzisa izilwanyana ezizayo. I-Jupiter inikeza i-multimodal, ukuyifaka kunye nokubhala, phakathi kwabasetyhini ze-graph, i-databases ye-relational kunye ne-Rest-based APIs. Akukho i-ETL efunekayo! ✅Neo4j, ✅Memgraph, ✅PuppyGraph, ✅OpenCypher ✅Databricks, ✅Snowflake, ✅Big Query, ✅MySQL, ✅Postgres, ✅Dremio Ukulungele ukuqala? Fumana kwi-calendar yethu ukuze ufunde ngaphezulu: calendarly.com / iimveliso From knowledge to graphs and back again From knowledge to graphs and back again Ixesha elinye elidlulileyo, ezisetyenziswa kwiimeko ezahlukileyo ukuba zibonise izinto ezahlukileyo, i "i-knowledge graph". Ukusetyenziswa kwe-definition ye-knowledge graph, ukuxhaswa kwe-ontology, kunye neendlela ezintsha , nqakraza le nqakraza phakathi kweTony Seale noGeorge Anadiotis. I-Layer ye-Truth Essential ye-Pragmatic AI https://www.youtube.com/watch?v=hIKfKx8MB8s&embedable=true U-Taewoon Kim uye uye U-Nicolas Figay uqhagamshelana . ukucacisa i-knowledge charts kunye nokunikezela isixhobo esebenzayo kwiimfuneko ezahlukeneyo yokusebenza kwabo izibuyekezo ezahlukileyo ezahlukileyo malunga ne-knowledge graph Njengoko i-ontologies, oku kunceda kakhulu ukutshintshela kunye nokwenza ukuxhaswa malunga ne-knowledge charts, isetyenziselwa i-GenAI, ngokukodwa ukunceda i-LLMs kwi-Graph RAG. Njengoko uFanghua (Joshua) Yu ibonise, nangona ukuthetha malunga , kukho iintlobo ezahlukeneyo ze-KG ezibonisa. Iingcebiso zeengcebiso zeengcebiso zeengcebiso zeengcebiso zeengcebiso zeengcebiso But is using knowledge graphs with GenAI always a good idea? The U-Dave Bechberger uqhagamshelwano Nangona iingcebiso ze-graph-based zithuthukisa iinkcukacha kunye neengxaki, ziyafumaneka kunye neengcebiso ze-token enkulu. Ukucinga I-complexity ingaba kunokwenzeka njalo Ngaba ungenza njalo i-Graph RAG , Fanghua (Joshua) Yu izibuyekezo. Plus, . If you are going to be using Graph RAG, however, there are some useful frameworks, applications and analyses to consider. I-Graph RAG yi-data engineering challenge, akukho kuphela i-LLM trick I-Graph RAG ayidlulanga njalo i- "vanilla" RAG and i-frameworks ye-open source ye-Graph RAG. I-Niklas Emegård yasungulwa I-Sergey Vasiliev i-Explores I-Benito Martin ibonisa indlela yokwakha . Flexible GraphRAG Ukucinga i-open source semantic Graph RAG isicelo esetyenziswa njenge template yeeprojekthi njani i-Graph Data Science kunye ne-Analytics kunceda ukulawula i-Graph RAG applications inkqubo ye-Biomedical GraphRAG, enxulumene iigrafu zenzululwazi kunye ne-vector search The shortest path between you and graph insights I-Graph Visualization kunye ne-Analytics iye yaba ngempumelelo kakhulu! : Ukusebenza kwi-intanethi enika i-graph exploration enamandla kumntu, ngqo kwi-browser. I-Enterprise Cloud ye-Linkurious Yenza i-akhawunti, uqhagamshelane ne-database yakho ye-graph, uqhagamshelane kunye needatha yakho, uqhagamshelane kunye nabathengi bakho kunye nokuvelisa iziphumo zakho, yonke into ngaphambi kwexesha lokutya. Yintoni? • I-Compatibility kunye ne-Graph Databases eziphambili • I-Zero IT bottlenecks okanye izicelo ze-infrastructure • Flexible plans that adapt to your needs The fastest way to start a graph project today — and the easiest way to scale it tomorrow. I-30 iintsuku ezamahala. 👉 Qhagamshelana ngoku Knowledge graph applications at scale Imisebenzi ye-Knowledge Graph Applications on Scale Kwiintsuku, izicelo ze-knowledge graph kwi-production ziquka. I-Knowledge Graph ifumaneka i-1.6 million node kunye ne-83 million edges, ezibonisa izakhiwo ezifana neempahla, iinkcukacha, iinkcukacha, iinkcukacha, kunye neenkcukacha. Walmart usebenzisa i-People.AI Knowledge Graph ukunceda izixhobo zokuzonwabisa Ukusetyenziswa kwe-semantic reasoning ukucacisa ngokuzenzakalelayo iigrafiki zenzululwazi kunye neengxaki ezintsha ezisekelwe kwizazi zenzululwazi ukuze zibonise ukusebenza okuqinile, ukunciphisa ingozi zokusetyenziswa kunye nokuphucula iimveliso yeenkcukacha. I-Barclays ibandakanya i-knowledge charts kunye ne-AI ebonakalayo kwi-financial crime kunye ne-KYC domain GitLab is building what they call the I-framework eyenziwe kwi-Rust yenza i-codebase yakho kwi-database ye-graph eyenziwe ngexesha elandelayo enokusetyenziswa ukufumana i-code kunye ne-navigation, ukucaciswa kwe-impact kunye ne-architecture visualization. GitLab Knowledge Graph Ukucinga RTVE, the Spanish national radio and television public broadcaster, has created Izixhobo zihlanganisa idatha, kwenza kufinyeleleka kunye nokufumaneka kumatshini kunye nabantu. i-knowledge graph that structures information by understanding the relationships between various audiovisual content as well as any potentially linked objects I-Wiz, i-cybersecurity phenomenon eyenziwe ngexesha elidlulileyo ngu-Google ngexabiso ze-32 billion, iye yandisa i-cloud security ngokunika ukubonisa epheleleyo kwi-multi-cloud environments. . massive, a constantly evolving security graph that spans customers’ entire cloud footprints to bring relationship-aware context to Microsoft Security across Defender and Purview. This way defenders and AI can see connections, understand the impact of a potential compromise, and act faster across pre-breach and post-breach scenarios. Microsoft introduced the Sentinel graph Kule isibonelo, isibuyekezo kwi-diagram ye-150 billion-edge i-scanned i-130 trillion edges. Ixesha elidlulileyo, kodwa ibonelela engaphansi kwe-4,000 iimpendulo, ebonisa amandla yokufumana iindidi ezininzi ezininzi ezininzi ezininzi. Graph-Wide scanning is a technique for solving advanced cyber threats Ontology and knowledge graph insights, tools and education I-ontology kunye ne-knowledge graph iinkcukacha, izixhobo kunye ne-education A key finding of the is that knowledge graphs and graph databases are driving adoption, but guidance and training are still critical. Here are some pointers to knowledge graph and ontology educational resources. State of the Graph survey for 2025 iye yinkonzo yobungcali kunye nabasebenzi abavela kule ndawo, kunye neengxaki zokusetyenziswa, i-innovation kunye neengxaki ze-educational evela kumazwe afana ne-Airbus, AstraZeneca, AWS, Barclays, Bloomberg, Netflix, Nvidia, SAP, ServiceNow, S&P, Vodafone kunye nokunye. Kuba iimveliso , or . Connected Data London 2025 Qhagamshelana CDL Ukuhambisa Trip teasers Dive kwi-content kunye ne-Remote Access Ticket kunye ne-special 15% discount i-metaphacts ezidlulileyo ezidlulileyo Iinkcukacha zokusetyenziswa kwimodeli ye-semantic ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe. Semantic Modeling Guidelines for Knowledge Engineers Kurt Cagle Ukudibanisa Ukubonisa ukuba ingxaki yokwakha i-knowledge chart ayikho iingxaki ze-technical, kodwa ukucacisa iintlobo zeengxaki ezihambelana, ukufumana iintlobo ezifanelekileyo zeengxaki, kunye nokufumana indlela yokuhambisana. Tips Ukwakha Knowledge Graphs Khetha ukwakha i-ontology ye-knowledge graph yakho, ngoko kufuneka isekelwe kwi-ontologies ezidlulileyo ezidlulileyo, kunokuba ukutshintsha i-crawl yakho ye-knowledge graph kwi-ontology eyenziwe ngexabiso zakho. Ngathi » "I-Cagle ibonise ukuba kukho umngcipheko we-interest kwi-profession of the ontologist. Inani kunokwenzeka kwimeko yokuba abantu baqala ukufumana i-value ye-knowledge charts, kodwa kunokuba i-opportunistic element apha. Njengokuba nezinye iinkalo ezininzi kwiminyaka embalwa, umsebenzi we-ontology ibonwe njengoko i-ticket kwi-money enkulu. Kodwa i-perceptions kunye ne-reality ayikho kuxhomekeke. Ukucinga Ukuqhuba i-ontologist Dean Allemang shares his . Ukwakhiwa kwe-ontologies yinto elidlulileyo kwihlabathi, njengoko akayi kuthatyalaliswa kakhulu kunxhomekeke kwimfuneko ezininzi. I-Allemang ibonisa ukuba "i-ontologist" iya kuba kwizilwanyana ezininzi ezihlangeneyo. inkcazelo kwi-day in the life of a working ontologist Qhagamshelana nezi and URobert Sanderson wahlala , and Giancarlo Guizzardi shared . Kwaye i-AIOTI yasungulwa a . izixhobo zokubonisa, ukuguqulwa kunye nokwenza ontologies conceptual modeling and Linked Data 10 design principles for knowledge graphs and ontology i-tutorial kwi-Unified Foundational Ontology report on the different Data to Ontology mapping tools available For more in-depth education: : A holistic AI education program, including modules on knowledge graphs, Graph RAG and ontology design Pragmatic AI Training The : learn how to build and scale knowledge graphs through a unique program led by global experts Knowledge Graph Academy RDFox® is one of the most advanced RDF triple stores on the market. Built on world-leading research from the University of Oxford, RDFox® stands out through: Do you need a graph technology that scales without sacrificing performance? ● High ukusebenza, scalable in-memory architecture ● Advanced rule-based reasoning for dynamic graph enrichment ● An optimised memory footprint for on device, server, or cloud RDFox® is trusted by a growing list of the world’s largest brands across financial services, manufacturing, automotive, retail, and big tech. . Ukukhuthaza okuyenza i-diagram yehlabathi ehlabathini kwiizigidi ze-smartphones ze-Samsung - bheka ukuba zonke iingxaki zihlala apha Two meanings of “Semantic Layer” and why both matter for AI Iimpawu ezimbini ze "I-Semantic Layer" kunye neengoma ezimbini kubalulekile kwi-AI Umbono Olandelayo Kwimeko ye-analytics, . It’s the business-friendly model that sits between raw data and BI tools. A governed way to define joins, metrics, and consistent logic. Zonke umntu uqhagamshelane, kodwa ayikho kufuneka kuthetha into efanayo, iingxaki semantic semantic layer usually refers to something we’ve seen before This version of semantics is about trust. It makes sure when someone (or something) asks, “What’s our total revenue last month?” the answer is accurate, governed, and consistent. Case in point: the . Snowflake, Salesforce, dbt Labs and other vendors announced they are working on what they claim will be a universal standard for how business data is defined and shared across platforms. Open Semantic Interchange (OSI) Ukucinga But there’s another camp using the same phrase and they’ve been doing it far longer. For ontologists, RDF, OWL and JSON-LD are open standards for exchanging semantic data. To them, a semantic layer isn’t a metrics model, it’s a knowledge model. It’s about representing meaning, relationships, and context across systems. This version of semantics is about understanding. It connects definitions and relationships, providing the context AI uses to make sense of information. Case in point: , Andreas Blumauer points out. , Anthony Alcaraz chimes in. Semantic Layers and GraphRAG are essential for Trustworthy AI Agents need a semantic layer Query more, wait less. Try Tentris today Tentris is a new disk-based RDF graph database that delivers blazing fast querying performance with highly efficient memory usage, turning analytics that once took days into results within minutes or seconds. Built for real time workloads and complex data, it solves tasks others cannot. Zifumaneke ukufundisa i-Tentris namhlanje! Qhagamshelana ne-Year of the Graph Newsletter Ukucacisa yonke into Graph ngonyaka ngonyaka Qhagamshelana ne-Year of the Graph Newsletter Subscribe to the Year of the Graph Newsletter Keeping track of all things Graph Year over Year Graph databases: growing market, competition & options Graph databases: growing market, competition & options Ukuhamba kwi-graph database updates, siza kufumana enye imiyalezo evela kwi-Microsoft. Kwi-Microsoft Q1 2026 earnings call, kubhalwe ukuba . I-Cosmos DB yi-database ye-multi-model, kwaye asazi ukuba i-graph yandisa ukuvelisa. I-Cosmos DB ibhizinisi yandisa ngaphezu kwe-50% yoY However, this signal is one of many pointing towards growth for graph databases. , the global graph database market size is projected to grow from $2.85 billion in 2025 to $15.32 billion by 2032, exhibiting a CAGR of 27.1%. Ngokutsho i-Fortune Business Insights Microsoft, AWS, Google, and Oracle were named as leaders in the . All superscalers have a graph database offering with Cosmos DB, Amazon Neptune, Google Spanner Graph, and Oracle Graph, respectively. 2025 Gartner® Magic Quadrant for Cloud Database Management Systems as a niche player. Neo4j also announced , as well as the release of . Neo4j was the only pure-play graph database to be listed in the same Magic Quadrant Fleet Manager, a single control plane for all Neo4j deployments Neo4j Graph Analytics for Snowflake in the Snowflake Marketplace But there has also been . to strengthen data foundation for AI and engineering. And the . churn in the graph database market I-Dgraph ifumaneka kwi-Istari Digital I-KuzuDB i-embedded graph database ye-open source ifumaneka ngu-creator kunye ne-sponsor ye-Kùzu Inc and are new forks of the KuzuDB codebase aiming to pick up where KuzuDB left off. Furthermore, Yaye – both aiming to fill in the embedded graph database void left by KuzuDB’s departure. LadybugDB Ukucinga GraphLite emerged as a new open source graph database for embedded processes I-FalkorDB ibonelela i-FalkorDBLite Iingxaki ezininzi ezifana , , , Yaye Ukucinga extension are emerging. It seems like the graph database market pie is growing, and the competition for a piece of it is intensifying. Ukucinga Ukucinga TuringDB TypeDB DuckDB DuckPGQ Finally, another signal pointing in the direction of : Linkurious, who just published the , are . growth for the graph market 2026 update of their Graph technology landscape getting acquired by Nuix in a €20M deal New tools and research Izixhobo ezintsha kunye nezifundo Wrapping up with a roundup of new tools and research. Focusing on graph research and innovation in NeurIPS, one of the leading AI conferences, shows that . graph is a significant part of NeurIPS 2025, supporting its growing importance and market share i-Native Library ye-Cluster-based graph processing kwi-Apache Spark – enye yeemoto enamandla kakhulu ye-big-scale data processing kwi-distributed computing. I-GraphFrames iye yandiswa emva kokufutshane ixesha elide, kunye ne-version 0.10.0 ezidlulileyo. I-GraphFrames inikeza ukuvelisa kwimvelo ye-GraphX I-ClickHouse ifumaneka kunye ne-graph modeling kunye ne-OpenCypher, ukuxhaswa kwe-OLAP kunye ne-graph analysis. Brahmand is an open source Graph Engine built on top of ClickHouse was recently released. Gephi Lite is a lighter, web-based version of Gephi, used for visual network analysis. Cosmograph, a single-node web-based tool used to visualize graphs, . Gephi Lite v1.0 released v.2.0 Ukucinga ODKE+ Ukusekela , and I-Tree-KG ye . Ontology-Guided open-domain knowledge extraction with LLMs GraphQA introduces an open source agent for asking graphs questions an expandable knowledge graph construction framework for knowledge-intensive domains , ukucwangcisa umbuzo ukuba i-LLM ziyafumaneka ekuphuculeni iigrafu zenzulululwazi ezisekelwe kwi-set yeengxaki ze-text. as well as the synergies between Large Language Models and the Linked Open Data ecosystem. Text2KGBench-LettrIA i-benchmark epheleleyo ye-Text2Graph systems I-RAGE-KG ibonelela kwi-state of the art nangaphezulu ku-Retrieval-Augmented Generation kunye ne-Knowledge Graphs Ukukhuphela iingcebiso zeengcebiso zeengcebiso zeengcebiso ngeengcebiso zeengcebiso. is a case study in agentic supply chain risk analysis. And GraphPFN is an . iimveliso Exploring Network-Knowledge graph duality Ukulungiselela ukuvelisa iimodeli ze-graph foundation kwiimodeli ze-tabular foundation Last but not least: – i-open knowledge graph for the community by the community. I-Connected Data Knowledge Graph v0.1 ifumaneka Subscribe to the Year of the Graph Newsletter Ukucacisa yonke into Graph ngonyaka ngonyaka Subscribe to the Year of the Graph Newsletter Subscribe to the Year of the Graph Newsletter Keeping track of all things Graph Year over Year
