# Design a Strategy for Summarizing Long Retrieved Documents Before Generation

A ready-to-use prompt to design a strategy for summarizing long retrieved documents before generation, producing a structured draft you can act on directly rather than a vague suggestion.

## Prompt

```
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 summarizing long retrieved documents before generation.

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
```

## Usage

Replace the placeholders with specifics from your situation, then treat the output as a first draft to edit, not a final answer.

## Limitations

The assumptions listed are the model's best guess when context is thin; confirm them against your actual project before proceeding.