Exploring Retrieval Approaches: Vector Search vs. Reasoning-Based Retrieval

The author discusses the recent hype around the idea that

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Why it matters

This exploration highlights the trade-offs between different retrieval approaches and the need to find the right fit for specific use cases, which is crucial for building effective question-answering systems.

Key Points

  • 1The author was trying to build a system to answer questions about long technical articles, not because of the
  • 2 hype, but due to their own needs.
  • 3The author built a simple comparison between vector-based RAG and reasoning-based PageIndex, and noticed key differences in their approaches and performance.
  • 4Vector-based RAG works well for speed and
  • 5 answers, while PageIndex provides cleaner reasoning and is better suited for single, structured documents.
  • 6The author is now interested in exploring ways to combine the two approaches, using vector search to find relevant documents and then applying PageIndex within those documents.

Details

The author was trying to build a system to answer questions about long technical articles, not because of the recent hype around

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