Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases on CourseEye

Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

Scrimba via Coursera

Go to Course: https://www.coursera.org/learn/learn-embeddings-and-vector-databases

Introduction

Understand and Create Embedding

Utilize Vector Databases

Retrieval-Augmented Generation (RAG)

Syllabus

Foundations of Embeddings & Vector Databases

In this module, you will cover setting up the environment, creating embeddings, and storing them in a vector database.

Advanced Retrieval & AI Applications

Now it's time to get to grips with search, querying, conversational AI, and chunking techniques for text processing.

Test Your New Knowledge

Overview

In this course, you will explore advanced AI engineering concepts, focusing on the creation, use, and management of embeddings in vector databases, as well as their role in Retrieval-Augmented Generation (RAG). You will start by learning what embeddings are and how they help AI interpret and retrieve information. Through hands-on exercises, you will set up environment variables, create embeddings, and integrate them into vector databases using tools like Supabase. As you progress, you will ta

Skills

Reviews

Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.

This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars

las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?