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

Instructor: Guil Hernandez

Intermediate Level • 3 hours to complete Recommended experience • Flexible Schedule

What You'll Learn

                        ✓Understand and Create Embedding
✓Utilize Vector Databases

                        ✓Retrieval-Augmented Generation (RAG)

Skills You'll Gain

Data Processing
Natural language processing
Generative AI
Development Environment
Text Mining
ChatGPT
Data Storage
OpenAI
Database Management

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                Earn a shareable career certificate

There are 3 modules in this course

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

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