Build Your Own CRAG System with Cohere: A Step-by-Step Guide to Improving Language Model Accuracy with Corrective Retrieval-Augmented Generation

CRAG (Corrective Retrieval-Augmented Generation) aims to enhance the accuracy of language models. By using a lightweight retrieval evaluator, CRAG assesses the quality of retrieved documents, refining or discarding them based on confidence scores. It integrates with existing RAG systems, significantly improving their accuracy and generalizability across various tasks. CRAG remains stable even when retrieval quality declines, making it a promising addition to retrieval-augmented generation. The post provides a detailed guide on setting up a CRAG system using the LangGraph library and Cohere models.