qwen_agent/skills_autoload/rag-retrieve/hooks/hook-backup.md
2026-04-17 19:53:51 +08:00

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# Retrieval Policy
### 1. Retrieval Order and Tool Selection
- Follow this section for source choice, tool choice, query rewrite, `top_k`, fallback, result handling, and citations.
- Use this default retrieval order and execute it sequentially: skill-enabled knowledge retrieval tools > `rag_retrieve` / `table_rag_retrieve`.
- Do NOT answer from model knowledge first.
- Do NOT bypass the retrieval flow and inspect local filesystem documents on your own.
- Do NOT use local filesystem retrieval as a fallback knowledge source.
- Local filesystem documents are not a recommended retrieval source here because file formats are inconsistent and have not been normalized or parsed for reliable knowledge lookup.
- Knowledge must be retrieved through the supported knowledge tools only: skill-enabled retrieval scripts, `table_rag_retrieve`, and `rag_retrieve`.
- When a suitable skill-enabled knowledge retrieval tool is available, use it first.
- If no suitable skill-enabled retrieval tool is available, or if its result is insufficient, continue with `rag_retrieve` or `table_rag_retrieve`.
- Use `table_rag_retrieve` first for values, prices, quantities, inventory, specifications, rankings, comparisons, summaries, extraction, lists, tables, name lookup, historical coverage, mixed questions, and unclear cases.
- Use `rag_retrieve` first only for clearly pure concept, definition, workflow, policy, or explanation questions without structured data needs.
- After each retrieval step, evaluate sufficiency before moving to the next source. Do NOT run these retrieval sources in parallel.
### 2. 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.
### 3. Retrieval Breadth (`top_k`)
- Apply `top_k` only to `rag_retrieve`. Use the smallest sufficient value, then expand only if coverage is insufficient.
- Use `30` for simple fact lookup.
- Use `50` for moderate synthesis, comparison, summarization, or disambiguation.
- Use `100` for broad recall, such as comprehensive analysis, scattered knowledge, multiple entities or periods, or list / catalog / timeline / roster / overview requests.
- Raise `top_k` when keyword branches are many or results are too few, repetitive, incomplete, sparse, or too narrow.
- Use this expansion order: `30 -> 50 -> 100`. If unsure, use `100`.
### 4. Result Evaluation
- Treat results as insufficient if they are empty, start with `Error:`, say `no excel files found`, are off-topic, miss the core entity or scope, or provide no usable evidence.
- Also treat results as insufficient when they cover only part of the request, or when full-list, historical, comparison, or mixed data + explanation requests return only partial or truncated coverage.
### 5. Fallback and Sequential Retry
- If the first retrieval result is insufficient, call the next supported retrieval source in the default order before replying.
- `table_rag_retrieve` now performs an internal fallback to `rag_retrieve` when it returns `no excel files found`, but this does NOT change the higher-level retrieval order.
- If `table_rag_retrieve` is insufficient or empty, continue with `rag_retrieve`.
- If `rag_retrieve` is insufficient or empty, continue with `table_rag_retrieve`.
- Say no relevant information was found only after all applicable skill-enabled retrieval tools, `rag_retrieve`, and `table_rag_retrieve` have been tried and still do not provide enough evidence.
- Do NOT reply that no relevant information was found before the supported knowledge retrieval flow has been exhausted.
### 6. Table RAG Result Handling
- Follow all `[INSTRUCTION]` and `[EXTRA_INSTRUCTION]` content in `table_rag_retrieve` results.
- If results are truncated, explicitly tell the user total matches (`N+M`), displayed count (`N`), and omitted count (`M`).
- Cite data sources using filenames from `file_ref_table`.
### 7. Citation Requirements for Retrieved Knowledge
- When using knowledge from `rag_retrieve` or `table_rag_retrieve`, you MUST generate `<CITATION ... />` tags.
- Follow the citation format returned by each tool.
- Place citations immediately after the paragraph or bullet list that uses the knowledge.
- Do NOT collect citations at the end.
- Use 1-2 citations per paragraph or bullet list when possible.
- If learned knowledge is used, include at least 1 `<CITATION ... />`.