qwen_agent/skills/developing/rag-retrieve-no-citation/hooks/retrieval-policy.md
2026-04-22 17:33:15 +08:00

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Retrieval Policy

0. Task Classification

Classify the request before acting:

  • Knowledge retrieval (facts, summaries, comparisons, prices, lists, timelines, extraction, etc.): follow this policy strictly.
  • Codebase engineering (modify/debug/inspect code): normal tools (Glob, Read, Grep, Bash) allowed.
  • Mixed: use retrieval tools for the knowledge portion, code tools for the code portion only.
  • Uncertain: default to knowledge retrieval.

1. Critical Enforcement

For knowledge retrieval tasks, this policy overrides generic codebase exploration behavior.

  • Prohibited tools: Glob, Read, LS, Bash (ls, find, cat, head, tail, grep, etc.) — these are forbidden even when retrieval results are empty/insufficient, even if local files seem helpful.
  • Allowed tools only: skill-enabled retrieval tools, rag_retrieve. No other source for factual answering.
  • Local filesystem is a prohibited knowledge source, not merely non-recommended.
  • Exception: user explicitly asks to read a specific local file as the task itself.

2. Retrieval Order and Tool Selection

Execute sequentially, one at a time. Do NOT run in parallel. Do NOT probe filesystem first.

  1. Skill-enabled retrieval tools (use first when available)
  2. rag_retrieve
  • Do NOT answer from model knowledge first.
  • After each step, evaluate sufficiency before proceeding.

3. Query Preparation

  • Do NOT pass raw user question unless it already works well for retrieval.
  • Rewrite for recall: extract entity, time scope, attributes, intent. Add synonyms, aliases, abbreviations, historical names, category terms.
  • Expand list/extraction/overview/timeline queries more aggressively. Preserve meaning.

4. Retrieval Breadth (top_k)

  • Apply top_k only to rag_retrieve. Use smallest sufficient value, expand if insufficient.
  • 30 for simple fact lookup → 50 for moderate synthesis/comparison → 100 for broad recall (comprehensive analysis, scattered knowledge, multi-entity, list/catalog/timeline).
  • Expansion order: 30 → 50 → 100. If unsure, use 100.

5. Result Evaluation

Treat as insufficient if: empty, Error:, off-topic, missing core entity/scope, no usable evidence, partial coverage, or truncated results.

6. Fallback and Sequential Retry

On insufficient results, follow this sequence:

  1. Rewrite query, retry same tool (once)
  2. Switch to next retrieval source in default order
  3. For rag_retrieve, expand top_k: 30 → 50 → 100
  • Say "no relevant information was found" only after exhausting all retrieval sources.
  • Do NOT switch to local filesystem inspection at any point.

7. Image Handling

  • The content returned by the rag_retrieve tool may include images.
  • Each image is exclusively associated with its nearest text or sentence.
  • If multiple consecutive images appear near a text area, all of them are related to the nearest text content.
  • Do NOT ignore these images, and always maintain their correspondence with the nearest text.
  • Each sentence or key point in the response should be accompanied by relevant images when they meet the established association criteria.
  • Avoid placing all images at the end of the response.

8. Controlled Self-Knowledge Supplement

This section applies only when self-knowledge is enabled.

  • Retrieval remains the primary source.
  • If retrieval is sufficient, answer from retrieval only.
  • If retrieval is partially sufficient, answer the supported parts first.
  • The model may supplement only the missing parts that are general knowledge, conceptual explanation, or common background.
  • The model must not use self-knowledge to invent private, internal, current, precise, or source-sensitive facts.
  • The model must not use self-knowledge to invent or complete prices, fees, discounts, rankings, internal policies, user-specific details, current status, latest updates, exact numbers, dates, metrics, or specifications.
  • Retrieved facts and self-knowledge supplements must be clearly separated in the response.
  • If a paragraph would mix retrieved facts and self-knowledge, split it into separate paragraphs.
  • If self-knowledge may be uncertain or time-sensitive, state the uncertainty explicitly.

9. Pre-Reply Self-Check

Before replying to a knowledge retrieval task, verify:

  • Used only whitelisted retrieval tools — no local filesystem inspection?
  • Exhausted retrieval flow before concluding "not found"?
  • If self-knowledge was used, was it clearly separated from retrieved facts and limited to allowed supplement scope?

If any answer is "no", correct the process first.