"We want to do GraphRAG too. Let's start by creating an ontology." "A knowledge graph is basically just an ontology, right?"I have had more opportunities to hear these kinds of conversations in ...

While Retrieval-Augmented Generation (RAG) improves the accuracy and relevance of AI output by grounding responses in structured knowledge, it still treats that knowledge largely as disconnected ...

Microsoft is making publicly available a new technology called GraphRAG, which enables chatbots and answer engines to connect the dots across an entire dataset, outperforming standard ...

NEW YORK, Feb. 16, 2026 /PRNewswire/ -- Graphwise, the leading Graph AI provider, today announced the immediate availability of GraphRAG, a low-code AI-workflow engine designed to turn "Python ...

"I made internal documents searchable via RAG, but when I ask 'What problems have been recurring over the last six months?', it gives me irrelevant answers." If you have ever built a knowledge search ...

If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents into chunks, embed them, retrieve the top ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...

Organizations often want to combine generative AI with their own data to summarize content, synthesize information or answer questions. AI chatbots don't automatically have access to enterprise data.

Latest Graphwise offering bridges the gap between complex enterprise data and functional AI agents, using ontologies reduces inaccurate answers 2X in benchmarks Equally important, the company ...