Retrieval Quality: Re-Ranking, Hybrid Search, Metrics | Databricks GenAI Engineer Cert

Master retrieval quality for RAG systems. Learn re-ranking techniques, hybrid search with Reciprocal Rank Fusion, and the four essential evaluation metrics—Precision@K, Recall@K, NDCG@K, and MRR. This hands-on tutorial covers the Databricks built-in reranker, BM25 + vector fusion, and the critical workflow of separating retrieval evaluation from generation evaluation—the canonical exam answer pattern.

You'll understand why cosine similarity alone is insufficient for RAG evaluation, how to configure the columns_to_rerank parameter, and when each retrieval metric earns its place in production. The video covers query expansion, Instructed Retriever for licensing-aware compliance, and decision rules for optimizing retrieval pipelines.

• Re-ranking: Two-stage retrieval with cross-encoder re-scoring
• Hybrid search: ANN + BM25 fusion via Reciprocal Rank Fusion (RRF)
• Retrieval metrics: Precision@K, Recall@K, NDCG@K, MRR—when to use each
• Component-level evaluation: Separating retrieval from generation
• Instructed Retriever: Embedding instructions and licensing rules at retrieval time

CHAPTERS:
0:00 Introduction
0:57 Key Terms & Context
2:39 Two-Stage Retrieval & Re-Ranking
4:38 Re-Ranking Configuration
7:53 Hybrid Search & Reciprocal Rank Fusion
11:54 Retrieval Evaluation Metrics
14:21 Component Evaluation Workflow
17:00 Query Expansion & Instructed Retriever
19:38 Production Pitfalls
20:34 Decision Rules & Takeaways
21:23 Quiz Questions

RESOURCES:
🔗 Databricks GenAI Engineer Exam: https://www.databricks.com/learn/certification/genai-engineer-associate
📋 Full Playlist: https://www.youtube.com/@StackLessons/playlists

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PRACTICE QUESTIONS:
Need more practice questions? Visit https://certcompanion.com/exams

#Databricks #GenAI #RAGRetrieval

📌 Chapters
0:00 Introduction
0:57 Key Terms & Context
2:39 Two-Stage Retrieval & Re-Ranking
4:38 Re-Ranking Configuration
7:53 Hybrid Search & Reciprocal Rank Fusion
11:54 Retrieval Evaluation Metrics
14:21 Component Evaluation Workflow
17:00 Query Expansion & Instructed Retriever
19:38 Production Pitfalls & Decision Rules

#Databricks #GenAI #RAGRetrieval

Видео Retrieval Quality: Re-Ranking, Hybrid Search, Metrics | Databricks GenAI Engineer Cert канала StackLessons