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

Intermediate Level
3 hours to complete Recommended experience
Flexible Schedule

Guil Hernandez

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

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Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

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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.