Show HN: Embeddinghub: A vector database built for Machine Learning embeddings

Embeddinghub is a database built for machine learning embeddings. Store embeddings durably and with high availability. Storage: Store and index billions vectors embeddings from our storage layer. Versioning: Create, manage, and rollback different versions of your embeddings. Monitoring: Keep track of how embeddings are being used, latency, throughput, and feature drift over time. Embeddings are dense numerical representations of real-world objects and relationships, expressed as a vector. Otherwise, you can use a LocalConfig to store and index embeddings locally.