MongoDB Build & Learn Series - Vector Search Fundamentals

In this MongoDB Build & Learn workshop, we explored the fundamentals of Vector Search and how developers can use MongoDB to build intelligent, search-driven applications.

The session introduced embeddings and semantic search, explaining how vector representations enable applications to find information based on meaning rather than traditional keyword matching.

Through practical examples, participants learned how to create Vector Search indexes, build similarity queries, and tune search results using MongoDB.

The workshop provided developers with a foundation for integrating Vector Search into modern AI applications, including semantic search and retrieval-augmented generation (RAG) workflows.

- You can watch the recording here.