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This course will provide you with an introduction to artificial intelligence and vector search. Then, you'll learn how to generate embeddings for your data, store your embeddings in MongoDB Atlas, and index and search your embeddings to perform a semantic search. You'll also learn how to build and use hybrid search that leverages text search capabilities of Atlas Search and semantic search capacilities of Atlas Vector Search. After you become familiar with how vector search works, you'll use it to build a retrieval-augmented generation (RAG) application to build a custom chatbot. Finally, you'll learn key commands for managing your vector search indexes in the Atlas CLI and MongoDB Shell.
