Glossary

The Rete Algorithm is a vital pattern-matching module applied in devising rule-based systems. Expertly designed for maximizing efficiency, it rapidly applies numerous rules to large sets of data within a knowledge base, using a network-like nodal structure.

Retrieval-Augmented Generation is a key technique in natural language processing, enhancing Large Language Models’ outputs. By integrating external knowledge sources, it boosts precision and reliability in AI-generated text.

Retrieval Pipelines are crucial in data management, streamlining the process for efficient data flow from the source to the desired application, ensuring optimal productivity.