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Module 5 - Retrieval Strategies

Overview​

Retrieval quality directly impacts RAG performance. This module covers various retrieval strategies from basic similarity search to advanced hybrid and reranking approaches.

Learning Objectives​

  • Implement similarity search with different metrics
  • Understand and implement hybrid search (BM25 + Semantic)
  • Use reranking to improve result quality
  • Apply metadata filtering effectively

Module Content​

  • Cosine similarity, euclidean distance
  • Top-k retrieval, score thresholds
  • Combining keyword (BM25) and semantic search
  • Reciprocal Rank Fusion

3. Reranking and Filtering​

  • Cross-encoder reranking
  • Cohere Rerank API
  • Metadata filtering strategies
  1. Similarity Search - Basic retrieval
  2. Hybrid Search - BM25 + Semantic
  3. Reranking - Improving results
  4. Quiz - Module 5 - 30 questions