Gain expertise in using vector databases and improve your data retrieval skills in this hands-on course!
During the course, you鈥檒l explore the fundamental principles of similarity search and vector databases, learn how they differ from traditional databases, and discover their importance in recommendation systems and Retrieval-Augmented Generation (RAG) applications. You鈥檒l also dive into key concepts such as vector operations and database architecture to develop a strong grasp of Chroma DB's functionality. You鈥檒l gain practical experience using Chroma DB, a leading vector database solution. And through interactive labs, you鈥檒l learn to create collections, manage embeddings, and perform similarity searches with real-world datasets. You鈥檒l then apply what you鈥檝e learned by creating a real-world recommendation system powered by Chroma DB and an embedding model from Hugging Face; an ideal project to demonstrate your understanding of how vector databases improve search and retrieval in AI-driven applications. If you鈥檙e keen to gain expertise in using vector databases and similarity searches, both essential components of the RAG pipeline, then enroll today!
