Episode 27: Enhancing RAG based Gen AI Applications with Unstructured Data

Today we join Maria Khalusova, Staff Developer Advocate with Unstructured.IO, to discuss how companies can unlock their Unstructured Data to deliver better results from their Large Language Models. We talk about how Unstructured Data can enhance the performance of RAG applications, RAG vs Fine Tuning, data Chunking, Multi-Modal models and more. AWS Hosts: Nolan Chen & Malini ChatterjeeUnstructured Enterprise Platform beta signup: https://unstructured.io/platformEmbedding models MTEB Leaderboard: https://huggingface.co/spaces/mteb/leaderboard2019 Deloitte report (source of the statistics that only 18% of organizations were using unstructured data):https://www2.deloitte.com/us/en/insights/topics/analytics/insight-driven-organization.html80% of data is unstructured, source: https://mitsloan.mit.edu/ideas-made-to-matter/tapping-power-unstructured-dataPapers showing RAG outperforming fine-tuning: https://arxiv.org/abs/2312.05934https://arxiv.org/abs/2401.08406Email Your Feedback: [email protected]