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How to compare reasoning-based retrieval with your vector RAG with PageIndex

Run the same questions through PageIndex and your existing pipeline to compare answers.

  • Research
  • Advanced
  • 1 hour
  • From the README
  • Any agent

Who it is forAn ML engineer evaluating whether to replace a vector RAG stack.

The problemIt is unclear when vectorless retrieval is better.

The outcomeA side-by-side answer comparison on your own documents.

What you need first

  • Python
  • An OpenAI API key (local mode) or a PageIndex API key (cloud mode)

Steps

  1. Pick 10 questions with known answers
  2. Run them through your vector RAG
  3. Run them through PageIndex
  4. Score correctness and citations

Prompt for your agent

Answer <10 questions> about <document> with PageIndex and with my vector RAG, then report which got more correct with verifiable citations.

Caveat. Results vary by document type and model choice.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for VectifyAI/PageIndex and "Compare reasoning-based retrieval with your vector RAG"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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