While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Corvic Inc. emerges from stealth mode today with $12 million in seed funding and technologies that it says reshape how enterprises leverage complex data for generative artificial intelligence. The ...

New AI Graph Toolkit makes it 10x easier to port SQL and unstructured data into a knowledge graph Developers accelerate access to GraphRAG to meet business users’ demands for accurate ChatGPT-style ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. In the current wave of generative AI innovation, industries that live in documents and text ...

Microsoft announced an update to GraphRAG that improves AI search engines’ ability to provide specific and comprehensive answers while using less resources. This update speeds up LLM processing and ...

Memgraph, a leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, is releasing two new tools specifically architected to open up the power of ...