Throughout the opening phases of the modern generative artificial intelligence surge, enterprise software teams treated long-term memory as a solved mathematical problem. When large language models were released with strict context limits, developers turned to Retrieval-Augmented Generation (RAG) powered by dense vector databases. The playbook was universally applied: extract unstructured enterprise documents, slice the text […]