Daft is a distributed query engine designed for large-scale data processing using Python or SQL, built with Rust. It offers a familiar interactive API, powerful query optimization, and seamless integration with data catalogs and multimodal types, making it suitable for complex data operations in cloud environments. Daft supports interactive and distributed computing, allowing users to efficiently handle diverse data types and perform operations across large clusters.

Complete the intermediate course on implementing multimodal vector search with BigQuery, which takes 1 hour and 45 minutes. Participants will learn to use Gemini for SQL generation, conduct sentiment analysis, summarize text, generate embeddings, create a Retrieval Augmented Generation (RAG) pipeline, and perform multimodal vector searches.