Agents didn't kill RAG. They just got better at hiding when it's missing.
Builders closer to production are pushing back.
Our take: Agentic systems still need grounded retrieval, used in a loop: plan, retrieve, evaluate, retry.
Confidence isn't the same as being right.
Most AI teams don't have a model problem. They have a tooling sprawl problem.
Curation, fine-tuning, RAG, evals, and agents – five tools that don't talk to each other.
DataNeuron runs it as one system. Raw data in, deployed AI out.
#BuildInPublic#MLOps#AIagents
