Tag: graph

Executive Overview In the rapidly evolving domain of natural language processing and information retrieval, the standard vector-based Retrieval-Augmented Generation (RAG) paradigm has increasingly run into architectural limits. While semantic vector search excels at capturing surface-level contextual similarity, it frequently suffers...

Executive Overview In the rapidly evolving landscape of Retrieval-Augmented Generation (RAG) systems, the primary objective remains unchanged: equipping Large Language Models (LLMs) with precise, contextually relevant external knowledge to mitigate hallucinations. Yet, a fundamental vulnerability continues to plague standard vector-...