Reinventing Multi-modal Search With MongoDB and Anyscale
In this comprehensive guide, we explore a solution to modernize legacy search systems using Anyscale and MongoDB. The guide covers building a scalable multi-modal data indexing pipeline, implementing a hybrid search backend, and creating a user-friendly interface. The solution leverages MongoDB Atlas Vector Search and Anyscale’s AI compute platform to enhance search capabilities across text and image data.
Authors: Kamil Kaczmarek, Marwan Sarieddine