https://c-daniele.github.io/en/tags/analysis/ Recent content in Analysis on Cdani's Blog Hugo en-US carmelo.daniele@gmail.com (Me) carmelo.daniele@gmail.com (Me) Sat, 05 Jul 2025 00:00:00 +0200 https://c-daniele.github.io/en/posts/2025-07-05-advanced-tecnique-for-analyzing-excel-files-with-llms/ Sat, 05 Jul 2025 00:00:00 +0200carmelo.daniele@gmail.com (Me) https://c-daniele.github.io/en/posts/2025-07-05-advanced-tecnique-for-analyzing-excel-files-with-llms/ <h1 id="abstract">Abstract</h1> <p>As AI developers, we&rsquo;re always looking for ways to make data more accessible and queryable through natural language. While Retrieval-Augmented Generation (RAG) has revolutionized how we interact with unstructired textual documents, <strong>it falls short when dealing with structured data</strong>. The RAG approach is so powerful that users or even early stage AI developers may fall in <strong>the illusion that it can be applied to any kind of data</strong>, including structured data like Excel files. However, this is a misconception that can lead to frustration and inefficiency. One of most ubiquitous kind of file asset across all organization is the Excel file format, which could also be considered as structured or &ldquo;semi-structured&rdquo; at least. Anyone who has tryed to process an Excel file using the standard Rag approach, quickly realized there is no real value with processing excel files the same way as PDFs.</p>