On the earth of synthetic intelligence, data retrieval and processing strategies are consistently evolving. Whereas Retrieval-Augmented Technology (RAG) methods have lengthy been the usual, Cache-Augmented Technology (CAG) approaches are exhibiting the potential to revolutionize this area.
RAG methods function on the precept of real-time knowledge retrieval from exterior data sources. For every question:
- Database search is carried out
- Related paperwork are chosen
- Data is processed
- Response is generated
- Repeated database queries for every request
- Excessive latency (1.5–2 seconds)
- Complicated system structure and excessive upkeep prices
- Danger of inconsistency in doc choice
