Congratulations on completing this course. In this course you implemented vector search. You optimize RAG systems by using metadata and MongoDB aggregation pipeline to improve system efficiency and output relevance. And finally, you learned how to reduce LLM application operational costs by using prompt compression. I'm looking forward to seeing what you build on your own. Here are some additional resources I recommend you to take a look after completing this lesson. The first resource is the MongoDB Developer Center, which contains tutorials, articles, and video covering a variety of topics related to AI. Next, you have the GenAI Showcase repo. This contains different code and is a repository showcasing different use cases for RAG and agentic systems. And finally, the DeepLearning.AI forum where you can ask questions in regards to this course.