Definition
The process of incrementally synchronizing a vector database or knowledge base with source data changes in near-real-time, ensuring that an AI agent or RAG pipeline retrieves the most current information without necessitating a full re-indexing of the entire corpus.
Distinguishes data freshness in the retrieval index from 'Streaming Responses' (UI latency) or 'Real-time Training' (model weight updates).
"A live news ticker continuously updating a researcher's notebook as new events occur."
Conceptual Overview
The process of incrementally synchronizing a vector database or knowledge base with source data changes in near-real-time, ensuring that an AI agent or RAG pipeline retrieves the most current information without necessitating a full re-indexing of the entire corpus.
Disambiguation
Distinguishes data freshness in the retrieval index from 'Streaming Responses' (UI latency) or 'Real-time Training' (model weight updates).
Visual Analog
A live news ticker continuously updating a researcher's notebook as new events occur.