New DLI Course: Use GPUs to Accelerate RAG Pipelines with Vector Databases #1821

We’re pleased to announce a new, self-paced course from the NVIDIA Deep Learning Institute (DLI): Use GPUs to Accelerate RAG Pipelines with Vector Databases.

In this hands-on course, you’ll learn how to leverage GPU acceleration to optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases. The course covers key concepts, practical implementation steps, and best practices for building high-performance AI applications.

What you’ll learn:

1. The fundamentals of RAG and vector databases
2. How to use GPUs to accelerate data retrieval and processing
3. Real-world examples and guided labs to reinforce your understanding

Whether you’re new to RAG or looking to enhance your existing workflows, this course offers valuable insights and practical skills.
You can find more information or enroll in the course here.

If you have any questions or want to share your experiences, feel free to start a discussion in this forum