The challenges of processing multimodal data, including images, embeddings, and nested structures, have always posed a significant hurdle for developers, who typically have to trade off between performance, features, and ergonomics. We built Daft to be a game-changer, providing an efficient solution for handling multimodal data by leveraging the power of Rust and the Arrow format while still being Pythonic!
Introducing Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
Hey Sammy, great post!
I am running a Discord community for practitioners tinkering with Multimodal AI research and applications.
Would love to have you join and share Daft with our members: https://discord.com/invite/Sh6BRfakJa