Definition
In the context of AI agents and RAG, online learning is the architectural capability to incrementally update retrieval indices, agent memory, or model parameters in real-time as new data arrives, rather than relying on static batch processing or periodic retraining cycles.
Refers to incremental machine learning and real-time index updates, not educational web platforms like Coursera.
"A digital stock ticker continuously updating price movements versus a static financial newspaper printed once a day."
- Incremental Indexing(Component)
- Catastrophic Forgetting(Trade-off/Risk)
- Stream Processing(Prerequisite)
- Dynamic Few-Shot Learning(Implementation Strategy)
Conceptual Overview
In the context of AI agents and RAG, online learning is the architectural capability to incrementally update retrieval indices, agent memory, or model parameters in real-time as new data arrives, rather than relying on static batch processing or periodic retraining cycles.
Disambiguation
Refers to incremental machine learning and real-time index updates, not educational web platforms like Coursera.
Visual Analog
A digital stock ticker continuously updating price movements versus a static financial newspaper printed once a day.