YT - Building Production RAG Over Complex Documents

YT - Building Production RAG Over Complex Documents - Decided to stop after 28min. I believe if a pdf is important enough, it should have its own bespoke parser, not a universal parser.

• QA system for company
• how to get high-response quality
• naive RAG … glorified search
• todo1) improve data quality
• todo2) improve query quality
• RAG is only as good as your data
• need to make sure parameters are fine tuned
• Parse, Chunk, Index
• Complex documents i.e. table, chart, image, page # -> page chunking has limits
• Llama Parse - AAPL 10-K example / figure check test
• Advanced Indexing: nodes will be indexed by the LLM