Dense Retrieval

Dense Retrieval maps text into low-dimensional dense embedding vectors using neural networks and matches content via vector distance metrics. It excels at semantic similarity, paraphrase matching, and conceptual recall, but may miss precise keyword identifiers or exact alphanumeric terms.