RAG to Riches

Most enterprise AI systems are built on a retrieval problem they've already solved — and a context problem they haven't noticed yet.

If your chunks lack context when they're indexed, no retrieval algorithm rescues them at query time. Contextual preprocessing is table stakes.

RAG retrieves passively. Agentic memory manages actively. Hybrid retrieval, re-ranking, decay-based memory and token budget management are all buildable today on standard infrastructure.