GraphDB by Ontotext

World leading RDF triplestore & knowledge graph engine, developed by @Ontotext.

[Vladimir Alexiev @valexiev1]

@OntotextGraphDB is used by the #odeuropa olfactory cultural heritage collection.

[GraphDB by Ontotext @OntotextGraphDB]

Deploy your #knowledgegraph, your way 💁

#GraphDB 10.8 was released last month & is on Google Cloud Marketplace w/ flexible BYOL & SaaS options. Streamlined setups, flexible control, & seamless cloud backup across Google, AWS, & Azure.

More features: https://t.co/2EsmD9LxWA

[GraphDB by Ontotext @OntotextGraphDB]

Zero downtime, maximum efficiency. #GraphDB 10.8 introduces multi-region cluster support, ensuring high availability & seamless data consistency for enterprise-grade operations. Built for #DevOps, designed for scale.

More details: https://t.co/eljbhoYXvU

#databasemanagement

[GraphDB by Ontotext @OntotextGraphDB]

The major new feature of #GraphDB 10.8 is Talk to Your Graph 2.0 - a RAG approach for #NLQ that comes out of the box given a ChatGPT Retrieval Plugin Connector.

Here's more about the new feature redesign: https://t.co/5XeWYVls1W

#genAI #GraphRAG #knowledgegraphs #SPARQL #RDF

[GraphDB by Ontotext @OntotextGraphDB]

Deploy your #knowledgegraph, your way. #GraphDB 10.8 is now on Google Cloud Marketplace & offers flexible BYOL & SaaS options. Streamlined setups, flexible control, & seamless cloud backup across Google, AWS, & Azure.

Learn more the latest release: https://t.co/kSAzRjEFb1

[GraphDB by Ontotext @OntotextGraphDB]

Zero downtime, maximum efficiency. #GraphDB 10.8 introduces multi-region cluster support, ensuring high availability & seamless data consistency for enterprise-grade operations. Built for #DevOps, designed for scale.

More details: https://t.co/J8R2BYipAw

#databasemanagement

[GraphDB by Ontotext @OntotextGraphDB]

The major new feature of #GraphDB 10.8 is Talk to Your Graph 2.0 - a RAG approach for #NLQ that comes out of the box given a ChatGPT Retrieval Plugin Connector.

Here's more about the new feature redesign: https://t.co/3sC90kibTe #genAI #GraphRAG #knowledgegraphs #SPARQL #RDF

[GraphDB by Ontotext @OntotextGraphDB]

‧₊˚✧ GraphDB 10.8 has arrived! ✧˚₊‧

It introduces a groundbreaking conversational interface Talk to Your Graph 2.0 powered by #RAG to enable AI-driven, conversational interactions w/ #knowledgegraphs.

Check out the other features & updates:
https://t.co/xxofoWJ5j1

[GraphDB by Ontotext @OntotextGraphDB]

GraphDB 10.7 rolled out new enhancements that improve its integration & usability. This update is particularly relevant for users accommodating dynamic deployment scenarios in #Docker & #Kubernetes environments.

Check out the rest of the improvements 👉https://t.co/EndX6gt6wY

[Dan Brickley @danbri]

Anyone else experimenting with shex/shacl and LLMs?

[Vladimir Alexiev @valexiev1]

Gathering up to date list of #SHACL implementations https://t.co/oucLWNgIzj . Please contribute!

[Ontotext @ontotext]

☝️ #Entitylinking is a foundational task in #textanalysis.

⚙️ Here's how @OntotextGraphDB’s standards-based entity linking makes it easier to add new, related data that provides context to other entities stored in the original data model. https://t.co/lHyxSk6O2Q

[GraphDB by Ontotext @OntotextGraphDB]

#GraphDB 10.7 makes #databasemanagement easier:
⟢ by securing the integration into complex IT ecosystems;
⟢ by offering more control over more aspects of GraphDB operation;
⟢ by improving the access & navigation through the documentation.

🔗 https://t.co/zolKluT3pK

[GraphDB by Ontotext @OntotextGraphDB]

The #GraphDB documentation gets a good polish in the last 10.7 release (⌐■_■). It has a new search engine & an upgrade to the Swagger interface for REST API documentation lets developers find information about available API calls faster & more easily.

https://t.co/qaXCJj1Ztm

[GraphDB by Ontotext @OntotextGraphDB]

The updated interface in #GraphDB 10.7 simplifies #RDF #datamanagement & cluster configuration by providing detailed logs of data imports & visual representations of cluster states.

Check out the other improvements in the latest #graphdatabase release: https://t.co/vETpGdlA9P

[GraphDB by Ontotext @OntotextGraphDB]

#GraphDB 10.7 has rolled out w/ new enhancements that improve its integration & usability. This update is particularly relevant for users accommodating dynamic deployment scenarios in #Docker & #Kubernetes environments.

More improvements 👉https://t.co/AgQNsOuGbk

#database

[GraphDB by Ontotext @OntotextGraphDB]

On top of the free course materials, you can take different combinations of these courses as learning paths designed for specific roles in an organization such as a Knowledge Graph Engineer or a Developer. 👩‍🎓👨‍🎓

https://t.co/3hZNbACPww

https://t.co/TuxAxLYe0L

[Ontotext @ontotext]

📣 Happy to announce that our free online Ontotext Academy courses are now live! Whether you're a beginner or looking to advance your skills, you can learn everything from #RDF & #SPARQL basics to advanced application development w/ @OntotextGraphDB.

https://t.co/HyvAUOq6YK

[GraphDB by Ontotext @OntotextGraphDB]

#GraphDB 10.7 is out! 🥳

The new release features improved cluster operations, easier configuration, more powerful user interface, & improved documentation. Check the details જ⁀➴ https://t.co/aFIM2wU4n5 #database #datamanagement #knowledgegraphs #RDF #metadatastore

[GraphDB by Ontotext @OntotextGraphDB]

@naz_tabbasum @ontotext @ontopicvkg Alternatively, if LLMs are not something you fancy, SPARNATURAL has got your back for a solution that is as close to NLQ as possible. https://t.co/EBdMIAbbD6 5/

[GraphDB by Ontotext @OntotextGraphDB]

@naz_tabbasum @ontotext @ontopicvkg The good news is that we have a small sample GraphDB plugin in the works which will allow you to enjoy langchain directly from GraphDB, without needing to turn to Python. 4/