Introduction to Retrieval Augmented Generation (RAG)
About this Course
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.Created by: Duke University
Related Online Courses
This K8s certification specialization is intended for individuals seeking to develop proficiency in the architecture of Kubernetes and container orchestration techniques. The course is aligned with... more
COURSE DESCRIPTION As one of four courses on Curanderismo, the art of Hispanic/Latino traditional medicine, this course focuses specifically on the use of plants in traditional healing. As an... more
Looking to enter the automation industry with the latest technologies or learn how Selenium WebDriver and Python programming are used in automation projects? This course helps you build a solid... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will provision a MongoDB Atlas cluster, create a dataflow pipeline to load data from the cluster to... more
By the end of this 2 hour-long guided project, you will be fluent in identifying and analyzing business markets and how to discover their attractiveness to new products and services. This project... more
Powered by
