Google Embedding 2, also known as Gemini Embedding 2, is not free to use. It is a service offered by Google through Vertex AI and the Gemini API, and while it is currently in public preview, it operates under a pricing model. Users typically need a Google Cloud project with billing enabled to utilize these services, indicating that costs are associated with its usage.
The service is designed for generating embeddings from various data types, including text, images, video, audio, and documents, and outputs 3072-dimensional vectors by default, with options for smaller dimensions to balance performance and cost. These embeddings are crucial for tasks like semantic search, retrieval-augmented generation (RAG), and recommendation systems, where the numerical representations of data allow for efficient similarity calculations across large datasets. When integrating such embeddings into an application, developers often store and manage them using vector databases like Milvus, which are optimized for handling high-dimensional vector data and performing fast similarity searches.
Details regarding specific pricing tiers and consumption options for Gemini Embedding 2 are available on Google’s official documentation and pricing pages. While the “public preview” status might sometimes imply a free tier or promotional usage, the consistent mention of “billing” and “pricing” across Google’s resources indicates that it is a paid offering from its inception. This approach aligns with typical cloud service models where advanced AI capabilities, especially those involving significant computational resources for multimodal processing, are provided as a managed service with associated costs.