Naman Dhakad

Exploring Generative AI with the Gemini API in Vertex AI is an exciting journey into the world of advanced AI models that can generate text, analyze images, and even perform tasks dynamically. This process not only enhances conversational AI but also transforms it into an action-driven tool capable of initiating workflows and performing complex tasks . Here’s a detailed breakdown of what this exploration entails: — - What is the Gemini API in Vertex AI? The Gemini API, part of Google Cloud’s Vertex AI, p...

Inspecting rich documents using Gemini Multimodality and Multimodal RAG is an advanced yet powerful approach to extracting, storing, and searching metadata from documents that contain both text and images. This method leverages Google’s Gemini models, such as the Gemini 2.0 Flash and Gemini Pro Vision, to combine text, image, and document understanding into a unified system . What is Multimodal RAG? Multimodal Retrieval-Augmented Generation (RAG) is a technique that enhances traditional RAG by incorporat...

Developing GenAI Apps with Gemini and Streamlit is an exciting journey into the world of generative AI and application development. This process allows you to build powerful AI-driven applications that can generate text, automate tasks, and even create interactive user interfaces. Below, I’ll break down what this entails, how to get started, and the key steps involved based on insights from recent resources. — - What is GenAI App Development with Gemini and Streamlit? GenAI (Generative AI) app developmen...