Everything (from) Everywhere All At Once - Enterprise RAG with Multiple Sources and Filetypes

Enterprise knowledge is often scattered across various platforms like OneDrive, Azure Blob Storage, and Outlook, creating a significant challenge in retrieving and processing information rather than just storing it. The text outlines a step-by-step guide to building a Retrieval Augmented Generation (RAG) pipeline using Unstructured's platform to address these challenges. The guide emphasizes the need for a system that can intelligently connect to multiple data sources and process diverse file formats such as PDFs, PowerPoints, Excel files, and emails into a queryable format. The process involves connecting data sources, transforming files into structured JSON using Unstructured's Partitioner, enriching data with image and table descriptions, and storing the results in AstraDB for seamless retrieval. The system is designed to handle various file types uniformly, allowing users to query across all enterprise content, and offers suggestions for further enhancements like adding observability and improving user experience.

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