Hi all,> > I’m building a custom generative AI application using Vertex AI’s Gemini API for my organization. The goal is to generate text content based on information extracted from docs files.> > I’m currently exploring different approaches and would appreciate any insights from the community. Here’s my initial breakdown of the steps:> 1. Text Extraction: Using Python libraries like Python-docs to programmatically extract text content from docs files.> 1. Vertex AI and Gemini API Interaction:> - Sending the extracted text as a prompt to the chosen Gemini model.> - Processing the generated content returned by the model (text format).> > I’m particularly interested in learning about:> > 1. Alternative approaches: Open to suggestions on alternative methods for achieving text generation from documents using Vertex AI or other tools.> 1. Possibilities: suggestion on Working in Vertex AI to build a custom Gemini AI for an organization.> > Has anyone worked on similar projects or can recommend resources for building custom generative AI solutions with Vertex AI? Any advice or insights would be greatly appreciated!
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