qwen_agent/skills/linggan/ragflow-loader/hooks/retrieval-policy.md

Retrieval Policy

0. Task Classification

Classify the request before acting:

• Knowledge retrieval (facts, summaries, comparisons, 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 tool only: 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

• rag_retrieve is the only knowledge source.
• Do NOT answer from model knowledge first.

3. Query Preparation

• Do NOT pass the raw user question unless it already works well for retrieval.
• Rewrite for recall: extract entity, time scope, attributes, and intent.
• Add useful variants: synonyms, aliases, abbreviations, related titles, historical names, and category terms.
• Expand list-style, extraction, overview, historical, roster, timeline, and archive queries more aggressively.
• Preserve meaning. Do NOT introduce unrelated topics.

4. Retrieval Breadth (top_k)

• Apply top_k only to rag_retrieve. Choose the appropriate value upfront to maximize first-call success.
• Use 50 for simple fact lookup or moderate synthesis, comparison, summarization, disambiguation.
• Use 100 for broad recall, such as comprehensive analysis, scattered knowledge, multiple entities or periods, or list / catalog / timeline / roster / overview requests.
• If unsure, use 50. Only escalate to 100 on the retry call if first results are insufficient.

5. Result Evaluation

Maximum 3 retrieval calls per question. After each call, evaluate immediately:

Sufficient — answer now

• The core entity/topic in the user's question has been hit.
• There is direct evidence supporting the main intent of the question.
• Partial but usable coverage is sufficient — you do NOT need exhaustive or perfect coverage to answer.
• When results are sufficient, compose the answer immediately. Do NOT call rag_retrieve again to "double-check" or "get more context".

Insufficient — retry once

• Empty, Error:, off-topic, missing core entity/scope, no usable evidence at all.

6. Fallback and Sequential Retry

On insufficient results, you may retry up to 2 more times (3 calls total):

1. 1st retry: rewrite the query (different keywords, synonyms, broader scope), retry rag_retrieve with top_k: 100.
2. 2nd retry: further rewrite or broaden the query.
3. If still insufficient, say "no relevant information was found".

• Do NOT switch to local filesystem inspection at any point.
• Do NOT call rag_retrieve more than 3 times.

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 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 rag_retrieve — no local filesystem inspection?
• Called rag_retrieve at most 3 times (not more)?
• Answered immediately when results were sufficient (did NOT call again unnecessarily)?
• 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.