Six-month global competition offers $100,000+ in cash and software prizes for real-world, production-ready projects.

A graph database company mined 150,000 Reddit posts to forecast plot outcomes for a TV show's final season. The technical choices it made along the way reveal why throwing unstructured data at AI and ...

Building effective agentic solutions requries an ontology-based single source of truth. Ontology is a business definition of ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

A comprehensive tool for converting YANG network models into knowledge graphs stored in Neo4j. This tool scans YANG files, parses them using pyang, generates SKOS ontologies, and loads them into a ...

According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Agentic Knowledge Graph Construction' has been launched in collaboration with Neo4j and led by Andreas Kollegger (@akollegger ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...