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 is a self-paced lab that takes place in the Google Cloud console. Google Cloud Platform (GCP) Virtual Private Cloud (VPC) Network Peering allows private connectivity across two VPC networks... more
Develop insights on navigating the innovation process from idea generation to commercialization. Build knowledge on how to create strategies to bring innovations to market. Develop an innovation... more
This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both... more
Master key data structure and algorithm concepts through this practical course, designed to strengthen your programming problem-solving skills. By exploring real-world interview questions, you\'ll... more
Much of the world\'s data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working... more