Vector Search and RAG Tutorial – Using LLMs with Your Data

Learn how to implement Vector Search and the RAG architecture in your applications using Atlas Vector Search. Vector embeddings can be used to organize data and perform semantic similarity searches. RAG improves response generation by utilizing relevant retrieved documents.