Retrieval-Augmented Generation from Scratch
Build a RAG system that actually retrieves the right thing: embeddings, chunking, hybrid search, reranking, and grounded answers.
Advanced1h 57m4 modules9.1k students
What you’ll learn
Understand embeddings
Know what a vector encodes, what it does not, and which similarity measure to use.
Chunk content well
Split documents so retrieved passages are self-contained and carry useful metadata.
Improve retrieval quality
Combine keyword and vector search, then rerank, and measure whether it helped.
Ground every answer
Cite sources, and make the system say it does not know instead of inventing one.