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yeah thanks for having me hey everyone hope youamp;#39;re enjoying the AI quality conference so far so for the purposes of this talk uh my talk will be on the importance of data quality for advanced rag uh Iamp;#39;m Jerry co-founder CEO of LL index for those of you who donamp;#39;t know Londo is a data framework and platform for helping you build uh llm applications of your data like agents and a lot more stuff uh we have some exciting releases this week uh stay tuned uh theyamp;#39;re not in the slides but just yeah keep your eyes out great so most of you probably know what rag is um thatamp;#39;s probably why youamp;#39;re here uh thereamp;#39;s two main components to rag thereamp;#39;s data parsing and inje as well as uh data querying like the retrieval LM prompting piece and I think you know many of you if youamp;#39;re just starting off building rag probably have built something of the falling form you know you do some like naive like part ing using an open source parser