Introducing Gemini Embeddings 2 Preview

Google has released a preview of its Gemini Embeddings 2 model, a multi-modal tool capable of embedding text, documents, images, audio, and video. This model is a significant development for Retrieval-Augmented Generation (RAG), as it simplifies creating searchable vector representations for diverse data types. The content provides practical Python code examples demonstrating how to use the new model. These examples show how to perform similarity searches by embedding images and matching them to text queries, as well as how to chunk and embed an audio file to locate specific spoken content.