Summary

Congratulations! Following this workshop, you have successfully learned:

• ✅ What is vector search
• ✅ What are embeddings
• ✅ How to store embeddings along with MongoDB documents
• ✅ How to create a vector search index
• ✅ How to run vector queries
• ✅ How to optimize vector search
• ✅ Different search methods in MongoDB and hybrid approaches

Visit the links for more resources on vector search and other MongoDB features:

• Atlas Vector Search Overview
• Atlas Vector Search Documentation
• MongoDB Developer Center