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Compare RAG Retrieval Approaches

HardGenerative AI & LLMs00:00
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Problem

Scenario

You're building a retrieval layer for a RAG system and need to choose between semantic search, keyword search, and a hybrid approach. The corpus includes both natural language documents and text with exact identifiers like product names, error codes, and API fields.

Question

How would you compare semantic search, keyword search, and hybrid search for a RAG retriever? When would you prefer each one, and how would you evaluate the choice?

What this tests

  • Understanding of BM25 keyword retrieval versus dense vector retrieval
  • Ability to reason about mixed query types in RAG
  • Evaluation of retrievers before generation quality
  • Awareness of grounding, hallucination, and retrieval safety