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Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge

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行业动态 7.0 分 — Proposes enriched embeddings with temporal/confidence/relational metadata. Addresses fundamental RAG limitations.
原文: arXiv

评分 7.0 · 来源: · 发布于

评分依据:Proposes enriched embeddings with temporal/confidence/relational metadata. Addresses fundamental RAG limitations.