Scalable Vector Search for AI Apps with Milvus and Databricks

Multi-modal embeddings are all the rage these days. Everyone wants a piece of them because they give you a way to convert unstructured data to representations that are useful for understanding the semantic nature of unstructured assets -- across image, text, audio, video, etc. These representations are vectors that can be used for a variety of purposes across use cases which require models for image similarity, deduplication, anomaly detection, text similarity, audio classification, video understanding, etc. To top that off, you don't have to be a data scientist with deep ML expertise to build these systems, nor do you need to have large amounts of data to start leveraging them. This is fine until you run into actual "hands on the keyboard" work for production.