Uncovering RAG System Flaws for Better AI Performance
Identify and address RAG system errors to improve AI answer accuracy, focusing on retrieval and generation metrics for optimal results
Identify and address RAG system errors to improve AI answer accuracy, focusing on retrieval and generation metrics for optimal results
Plain text splitters often shred structured data like tables or code blocks in RAG pipelines. Learn how a tokenizer-aware markdown parser keeps chunks intact and improves retrieval results.