Carl Paulson’s Post

How much time and money are you spending on your RAG (Retrieval Augmented Generation) workflows? Found an excellent resource from MongoDB’s Prompt Compression and Query Optimization course, led by Richmond Alake, and a few strategies stood out: 🚀 Prefiltering and Postfiltering: Boost query results and processing speed. 🔍 Prompt Compression: Save costs by reducing prompt size without losing performance. 💡 Practical exercises using MongoDB aggregation pipelines to implement these concepts in real-world scenarios. By focusing on these optimization techniques, you can create cost-efficient, high-performing RAG applications. Want to explore how this could work for you? Check out the course here: https://lnkd.in/geH9EYCK PS -- currently offered for free for a limited time during the DeepLearning.AI learning platform beta.

Joins are the silent killer of database performance. MongoDB's document model avoids them like the plague. The result? Lightning-fast queries at any scale. By storing related data together in flexible, JSON-like documents, MongoDB eliminates the need for complex multi-table joins. This means faster reads and writes, even as your dataset grows. And with indexing options like compound indexes and geospatial indexes, you can optimize query performance for your specific access patterns. So whether you're dealing with millions of users or petabytes of data, MongoDB keeps your app running smoothly. It's the cure for the common join.

The more time developers spend on databases, the less they deliver value. MongoDB gets out of their way. With an intuitive document model, flexible schema, and code-friendly drivers, MongoDB removes friction. So they can build more, faster. And with MongoDB Atlas, they don't worry about provisioning, scaling, or managing infrastructure. Just click and get a fully managed database, optimized for your workload. Plus, Atlas's unified tools for search, sync, and more accelerate modern app dev. The result? Unparalleled developer productivity. Imagine what your team could achieve with an extra day each week focused on your core product.

"The best way to learn is by doing." At MongoDB Day Minneapolis, you won’t just be listening to talks—you’ll be rolling up your sleeves and getting hands-on with MongoDB. From what I've heard, the hands-on labs make the biggest difference. Our experts don't just talk about sharding theory; they apply it in real scenarios. That kind of practical experience stays with you and helps you solve problems back at your desk. You’ll test new features and dive deep into performance optimizations—things you can use right away. If you’re someone who learns by doing, MongoDB Day is where you’ll get the most out of MongoDB. Ready to dive in? Register here: https://lnkd.in/gT_X5xtS

Great opportunity for leaders at the intersection of technology and healthcare!