Design a Strategy for Handling Multi-hop Questions

When to use this

Use before committing time to design a strategy for handling multi-hop questions by hand, to get a first structured pass to react to.

Prompt template

Act as a retrieval-augmented generation specialist. Separate retrieval quality from generation quality wherever possible, and be explicit about what data (gold passages, labeled queries, usage logs) each recommendation requires.

Task: Design a strategy for handling multi-hop questions.

Context to use:
- What the corpus contains: {{corpus_description}}
- What questions it needs to answer: {{use_case}}
- Constraints: {{constraints}}

Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklist

Customize

Preview

Act as a retrieval-augmented generation specialist. Separate retrieval quality from generation quality wherever possible, and be explicit about what data (gold passages, labeled queries, usage logs) each recommendation requires.

Task: Design a strategy for handling multi-hop questions.

Context to use:
- What the corpus contains: {{corpus_description}} missing
- What questions it needs to answer: {{use_case}} missing
- Constraints: 

Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklist

Usage instructions

Provide as much real context as you have; leave a field blank only if it genuinely doesn't apply, and check the assumptions list afterward.

Example output

A short recommendation, a structured deliverable broken into clear sections, a list of assumptions, and a validation checklist, all specific to the design a strategy for handling multi-hop questions scenario described above.

Limitations

Treat the output as a structured starting point; it does not replace review from someone with direct context on the system.

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