Module 6

Beyond Similarity

Modules 1 through 5 showed you how to design and build a complete retrieval pipeline. This bonus module covers the next layer: measuring and improving its results.

Overview

You’ll match common search problems to Qdrant features: score boosting and reranking for order, Maximal Marginal Relevance (MMR) for variety, grouping for one slot per document, and the Recommendation and Discovery APIs for searches from examples instead of text. You’ll set up a way to measure relevance first, and pick up the trap that comes with each feature along the way.

Today’s Path

1. Find Your Problem
2. Measure First
3. Ranking: Score Boosting and Reranking
4. Diversity: Maximal Marginal Relevance
5. Grouping: One Slot per Document
6. Searching From Examples and Feedback
7. Inspecting a Collection
8. Knowledge Check