qwen_agent/skills/autoload/onprem/rag-retrieve/hooks/retrieval-policy-forbidden-self-knowledge.md
2026-04-20 22:37:54 +08:00

7.1 KiB

Retrieval Policy (Forbidden Self-Knowledge)

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 answer source: the model's own parametric knowledge, memory, prior world knowledge, intuition, common sense completion, or unsupported inference.
  • 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, table_rag_retrieve, 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.
  • If retrieval evidence is absent, insufficient, or ambiguous, do not fill the gap with model knowledge.

2. Core Answering Rule

For any knowledge retrieval task:

  • Answer only from retrieved evidence.
  • Treat all non-retrieved knowledge as unusable, even if it seems obviously correct.
  • Do NOT answer from memory first.
  • Do NOT "helpfully complete" missing facts.
  • Do NOT convert weak hints into confident statements.
  • If evidence does not support a claim, omit the claim.

3. 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. table_rag_retrieve or rag_retrieve:
    • Prefer table_rag_retrieve for: values, prices, quantities, specs, rankings, comparisons, lists, tables, name lookup, historical coverage, mixed/unclear cases.
    • Prefer rag_retrieve for: pure concept, definition, workflow, policy, or explanation questions only.
  • After each step, evaluate sufficiency before proceeding.
  • Retrieval must happen before any factual answer generation.

4. 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.

5. 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.

6. Result Evaluation

Treat as insufficient if: empty, Error:, no excel files found, off-topic, missing core entity/scope, no usable evidence, partial coverage, truncated results, or claims required by the answer are not explicitly supported.

7. 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
  4. table_rag_retrieve insufficient → try rag_retrieve; rag_retrieve insufficient → try table_rag_retrieve
  • table_rag_retrieve internally falls back to rag_retrieve on no excel files found, but this does NOT change the higher-level order.
  • Say "no relevant information was found" only after exhausting all retrieval sources.
  • Do NOT switch to local filesystem inspection at any point.
  • Do NOT switch to model self-knowledge at any point.

8. Handling Missing or Partial Evidence

  • If some parts are supported and some are not, answer only the supported parts.
  • Clearly mark unsupported parts as unavailable rather than guessing.
  • Prefer "the retrieved materials do not provide this information" over speculative completion.
  • When user asks for a definitive answer but evidence is incomplete, state the limitation directly.

9. Table RAG Result Handling

  • Follow all [INSTRUCTION] and [EXTRA_INSTRUCTION] in results.
  • If truncated: tell user total (N+M), displayed (N), omitted (M).
  • Cite sources using filenames from file_ref_table.

10. 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.

11. Citation Requirements

  • MUST generate <CITATION ... /> tags when using retrieval results.
  • Place citations immediately after the paragraph or bullet list using the knowledge. Do NOT collect at end.
  • 1-2 citations per paragraph/bullet. At least 1 citation when using retrieved knowledge.
  • Do NOT cite claims that were not supported by retrieval.

12. Self-Knowledge Prohibition

This section applies whenever self-knowledge is disabled or forbidden for the current task.

  • Retrieval remains the only usable source for factual answering.
  • If retrieval is sufficient, answer from retrieval only.
  • If retrieval is partially sufficient, answer only the supported parts.
  • The model must not supplement missing parts with general knowledge, conceptual explanation, common background, intuition, or likely completion.
  • The model must not use self-knowledge to invent or complete 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 must include citations.
  • Unsupported parts must be stated as unavailable rather than guessed.
  • If a paragraph would mix retrieved facts and unsupported completion, remove the unsupported completion.
  • If evidence is incomplete, state the limitation explicitly.

13. Pre-Reply Self-Check

Before replying to a knowledge retrieval task, verify:

  • Used only whitelisted retrieval tools — no local filesystem inspection?
  • Did retrieval happen before any factual answer drafting?
  • Did every factual claim come from retrieved evidence rather than model knowledge?
  • Exhausted retrieval flow before concluding "not found"?
  • Citations placed immediately after each relevant paragraph?
  • If any unsupported part remained, was it removed or explicitly marked unavailable?

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