unstructured data such as pdfs, text documents, YouTube videos, and web pages, into a knowledge graph stored in Neo4j, promising much better accuracy than simple RAG (Retrieval-Augmented Generation).
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Have knowledge graphs fallen out of favor with AI builders?
Knowledge graphs were the hottest thing in AI architecture a year ago. But today, most teams have quietly shelved them for ...
A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.
Many organizations use data fabrics to connect disparate data sources to a central access point, regardless of their type or location. Some take this further by incorporating knowledge graphs into ...
Knowledge Graph now reaches from databases and Kubernetes to the user’s browser and phone, giving people and agents shared runtime context. Grafana Labs, the company behind the ...
Grafana Labs adds a Knowledge Graph, user experience monitoring, and incident response tools to link teams, agents, and ...
Runtime context for agents (GA): Knowledge Graph is available as runtime context for Grafana Assistant and any agent connected through gcx. A new Cypher query capability lets agents retrieve ...
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