RAG Quality Starts with Data Quality - Enhancing Retrieval-Augmented Generation Systems

Explore the critical role of data quality in Retrieval-Augmented Generation (RAG) systems through this insightful podcast episode featuring Adam Kamor, Co-Founder & Head of Engineering of Tonic.ai. Delve into essential aspects of data preparation, common challenges in RAG implementation, and expert tips for enhancing system performance. Learn about transforming unstructured enterprise data into high-quality input for RAG systems, while addressing crucial data privacy and governance concerns. Gain valuable insights on maximizing RAG effectiveness, managing personally identifiable information (PII), implementing chunking strategies, ensuring data freshness in chatbots, and evaluating retrieval performance. Discover best practices for LLM security, privacy management, and chatbot design patterns, as well as the growing impact of RAG in AI applications.