Vector Embeddings generated by Cohere can be stored in MongoDB Atlas Vector Search to build high-performance Generative AI applications.
Nomic provides the ability to visualize and explore vector embedding data easily in the web browser, as well as generate vector embeddings via thegpt4all. It works easily with Atlas Vector Search.
Semantic Kernel is an SDK that simplifies building LLM application with programming languages like C# and python. Atlas Vector search integrates to provide “memory” for LLM applications.