Optimizing Document Processing with Gemini API

In this video, Sam Witteveen discusses the new capabilities of Google’s Gemini API for document processing, focusing on how context caching can optimize costs and efficiency. He explains how to handle large PDF files directly with the Gemini API without pre-processing, allowing users to upload extensive documents of up to 1,000 pages. Sam emphasizes the advantages of context caching, which enables users to send a document only once for processing, reducing token costs for subsequent queries. He provides a step-by-step tutorial on using the Gemini API, including how to upload documents, generate summaries, and retrieve information effectively. The video showcases practical use cases for leveraging the Gemini API in AI projects, particularly for those requiring efficient document management and retrieval.