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RAG — Retrieval-Augmented Generation
Build systems that combine retrieval with LLMs — chunking, embedding, vector search, and hybrid retrieval strategies.
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01
What is RAG?
This lesson covers Retrieval-Augmented Generation (RAG), a new approach to improve search systems and language models. R...
02
Chunking & Embedding Strategies
In this lesson, we'll learn about chunking and embedding strategies used in AI search systems. We'll cover how to break ...
03
Vector Search & Retrieval
Vector search and retrieval is a technique used to find the nearest vectors to a query in a database. This is useful for...
04
Hybrid & Advanced Retrieval
This lesson covers hybrid and advanced retrieval techniques in AI, including semantic search, retrieval-augmented genera...