Module 2

From Idea to System

In Module 1, we saw how search evolved from matching words to understanding meaning. Now we move from theory to actual system design. This module covers every building block you need to go from raw text to a running Qdrant collection.

• Raw Text Documents, articles, PDFs

• Chunk Split into passages

• Embed Convert to dense vectors

• Store Upsert to Qdrant: insert a point if its ID is new, update it if the ID already exists

• Query Retrieve the top-K results: the K most similar matches to your query