Data Cleaning for a RAG Ingest Pipeline

This blog post delves into effective data cleaning techniques for a RAG pipeline used in maritime email processing. It discusses challenges related to handling dirty data, various parsing strategies, classification of content, and error handling. The author shares insights gained from processing 6,000+ emails with a focus on improving retrieval accuracy and reducing costs, emphasizing the importance of context enrichment and data validation.