Show HN: Vemb – embed text, images, audio, video and PDFs from the terminal

A new command-line tool called Vemb has been introduced, allowing users to embed various multimedia files—including text, images, audio, video, and PDFs—directly from the terminal. Built on the Gemini Embedding 2 model, Vemb provides a unified embedding framework by integrating multiple data types into a single vector space. Users can easily install Vemb via pip or pipx, set up their API key, and start generating embeddings for different media types with straightforward commands.

The significance of Vemb lies in its versatility and efficiency for the AI/ML community, especially for developers and data scientists focused on multimodal AI tasks. With capabilities ranging from batch processing to cosine similarity searches, this tool streamlines the embedding process and enhances data retrieval. Notably, Vemb supports a variety of output options, including JSON and JSONL formats, catering to diverse needs in machine learning workflows. The caching feature also optimizes performance by avoiding re-embedding unchanged files, making Vemb a powerful addition to the toolkit of anyone working with multimodal data in AI projects.