Tag: evaluating

Executive Overview In the rapidly evolving landscape of Retrieval-Augmented Generation (RAG), engineers continually face a persistent engineering challenge: semantic lossiness. Standard vector-based RAG architectures, while remarkably proficient at broad semantic retrieval and conceptual search, frequently stumble when tasked with high-precision,...

Executive Overview In the rapidly evolving landscape of Retrieval-Augmented Generation (RAG), engineers continually face a persistent design dilemma: how to eliminate the "lossiness" inherent in dense vector databases when querying atomic facts, numeric statistics, and complex entity relationships. Traditional vector...