Introduction to Retrieval Augmented Generation (RAG)

Coursera MOOC / Non-credit USD 9.99

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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.

What you'll learn

import data using Pandas
create embeddings with SentenceTransformers
build a RAG system using Qdrant
apply a language model like Llamafile or OpenAI for generative tasks

Skills you'll gain

pandas machine learning generative ai data processing data analysis rag embeddings openai llm qdrant sentence transformers

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