Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away ...

This marks the third time that Aerospike’s multi-model database ... Aerospike Graph delivers a unique architecture that enables customers to realize exceptional performance using far fewer ...

TigerGraph Inc. is upgrading its graph database ... A company could use hybrid search to build an AI chatbot that helps workers find internal documents. Such a chatbot can use graphs to find ...

The use of knowledge graphs stored as graph databases provides the ideal platform for building and maintaining these knowledge graphs as data complexity continues to grow. The significant ...

A recent research done by data.world has shown that using a knowledge graph of the enterprise SQL database increases accuracy to 54% (from 16%). Content knowledge graphs are rooted in factual ...

Graph databases and knowledge graphs, alongside other technologies like vector databases, “re-emerged recently to provide better interfaces into RAG frameworks,” said Yuval Perlov, CTO at K2view. “Our ...

There’s even the prospect of using LLMs to help generate those knowledge graphs. The summarization tools identify specific entities within the graph database and then provide the links needed to ...

Amazon Neptune: 6 Ways to Use the AWS Graph Database ... previewed the database and used it to build social networks, recommendation engines, fraud detection, knowledge graphs and drug discovery ...

“And we looked around at other of our customers who are throwing bespoke graph code, hand-coding graphs in order to ... purpose property graph database that’s suitable for the types of transactional ...

The new graph database, just like Apache TinkerPop, will make use of the Gremlin Query Language ... of graph databases include identity graphs for the advertising technology industry, customer ...