GPT on my files

A tool that leverages a Generative Pre-trained Transformer model to answer questions based on the content of PDF, CSV, or audio files.


The 'GPT on my files' tool is a sophisticated solution designed to parse through the text of various file formats, including PDFs, CSVs, and audio files, to provide answers to user queries. It utilizes a Generative Pre-trained Transformer (GPT) model, specifically a variant of GPT-3.5, to interpret and analyze the content of uploaded files. The tool is adept at summarizing relevant information and generating contextually accurate responses to the questions posed by users. It is built on a low-code AI workflow platform, making it accessible and user-friendly for a wide range of applications.

Use cases

Potential use cases for 'GPT on my files' include academic research, where students can extract key points from lengthy papers; business analytics, where professionals can query financial reports for specific insights; and legal document review, where lawyers can find relevant case law or statutes quickly. The tool's versatility makes it valuable for anyone needing to extract and understand complex information from text-based files.


The primary benefit of 'GPT on my files' is its ability to quickly sift through extensive file content and extract pertinent information to answer specific questions. This can save users considerable time and effort in research and data analysis tasks. Additionally, the tool's use of advanced GPT models ensures high-quality, contextually relevant answers, enhancing decision-making and knowledge discovery.

How it works

Users initiate the process by inputting a question and uploading a file. The tool extracts text from the file and, using a Large Language Model step, sends both the question and the extracted text to the GPT model. The model receives a structured prompt that includes the file content and the question, optimized to focus on the most relevant information. The GPT model then processes this information and generates an answer, which is presented to the user as the final output.

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