Course of AI: Embeddings & RAG

💸 First lesson available without registration 💸

One of the most common words that comes up when we are integrating AI is: RAG. But:

• 🀄 How can I do it in a scalable way?
• 🧮 What is a semantic search and what are embeddings?
• 🥊 Which vector database should I choose?

We answer all these questions (and a few more) in the course.

We try to explain quite complex concepts in a simple way, such as everything related to embeddings, so that we can understand the basics and learn how to better model our code.

Everything accompanied by code examples so you can tinker as much as you want. 🙌

Previous course in the Artificial Intelligence series: Add AI Following Best Practices (OpenAI GPT, Ollama, and LangChain)

Course in collaboration with Ángel Delgado.