retrieval-pipelines

Software

Retrieval as a Runtime Capability

Retrieval is one of the most powerful tools we have for making AI genuinely helpful—because it lets systems ground responses in real, evolving knowledge: user history, device signals, policies, docs, and live state. The catch is that retrieval is also a runtime capability. Context arrives at different speeds. Some

High-Frequency RAG: Designing Retrieval Pipelines That Survive User-Interactive Latency Budgets

Interactive AI experiences are different from traditional RAG pipelines. They exist inside tight user-facing latency boundaries where even a 300–500 ms delay can change how users feel about the system. A chat interface that responds instantly feels intelligent; one that hesitates feels broken. When retrieval sits on the hot