EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory
19 Jun 2026
Existing embedding models are inherently static: they encode text segments in isolation, ignoring their surrounding context and temporal order. This paper introduces EvoEmbedding, a novel embedding model that generates evolvable representations for retrieval.