Explore MongoDB's AI course on RAG, vector search, and prompt compression. Learn to build efficient AI apps with MongoDB Atlas.

The MongoDB blog offers developers insights into MongoDB database technology, including tutorials, best practices, and use cases for building scalable and flexible applications. Developers can learn about MongoDB's document-oriented data model, query language, and distributed architecture, as well as explore topics such as data modeling, indexing strategies, and performance optimization.

MongoDB

MongoDB has partnered with Andrew Ng and DeepLearning.AI to launch a course focused on bridging database technology with modern AI applications. Titled 'Prompt Compression and Query Optimization,' this course covers Retrieval Augmented Generation (RAG) and uses MongoDB Atlas Vector Search to teach developers how to build efficient AI applications. The course also introduces techniques like prompt compression to reduce operational costs and showcases MongoDB's flexible document model ideal for AI data handling. It's tailored for developers interested in vector search, RAG applications, and AI optimization strategies.

MongoDB AI Course in Partnership with Andrew Ng and DeepLearning.AI

Building Gen AI with MongoDB & AI Partners | July 2024