RAG that remembers: How AI is learning from every query
Every query matters. Traditional Retrieval-Augmented Generation (RAG) systems treat each search as isolated, wasting computation and missing opportunities to learn. Evolving Retrieval Memory (ERM) changes that: it enables RAG to remember successful queries, optimize document vectors, and continually improve retrieval performance. The result is efficient, high-performance semantic search that adapts over time, bringing AI closer…
