Understand embeddings
Know what a vector encodes, what it does not, and which similarity measure to use.
Retrieval-Augmented Generation from Scratch
Build a RAG system that actually retrieves the right thing: embeddings, chunking, hybrid search, reranking, and grounded answers.
What you’ll learn
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.
Course Content
4 modules1h 57m