Simple RAG – Homework Exercise
Homework Instructions:
In this exercise, you will implement a simple RAG system to find and recommend old movies based on a dataset with 5,000 movies. You will practice loading a dataset, creating an encoder, uploading the documents into a vector database, and searching the index with a filter on the years. The exercise includes a notebook with some of the code missing. Complete the code based on the instructions in the notebook, and answer the questions below with the output cells’ data after the code completion.
The notebook (“/exercise/01_simple_rag_exercise.ipynb”) is under the folder in the GitHub repository and here.
Advanced Retrieval-Augmented Generation (RAG) for Large Language Models
Advanced Retrieval-Augmented Generation (RAG) for Large Language Models
Reach your personal and professional goals
Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.
Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.
