Hybrid search over California embeddings with Modal, MongoDB, and Clay

What this post added

This post details the architecture and implementation of a hybrid search system using Modal, MongoDB Atlas, and Clay's foundation model for satellite imagery embeddings. It covers data ingestion from Sentinel satellites, embedding generation on Modal GPUs, storage and querying in MongoDB Atlas, and a frontend for hybrid search requests. The technical depth includes specific code paths for data extraction, embedding generation, and database interaction, showcasing the integration of diverse services for a complex AI application.