By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.
— Gartner Inc.
In the evolving AI landscape, retrieval-augmented generation (RAG) has become the go-to method for grounding large language models (LLMs) with external data. Yet, traditional RAG often relies on unstructured, document-centric methods that lack deep relationship awareness. Enter GraphRAG — an emerging approa...
Read it: A Practical Experimentation of GraphRAG and Agentic Architecture With NeoConverse