What the documents look like
Brand-run livestream rooms carry their own scripts, stock commitments and after-sales handling, so store service and internal training depend on traceable materials rather than on a creator's commission arrangement. The working documents for this category are the livestream script, the product explanation card, the shift schedule and the livestream review. Updates occur per session and per hour, which means the explanation wording for one product can change several times inside a single day. When store staff relay or act on that wording, an unclear source lets an outdated explanation card pass as the currently valid version, and the documented consequences include false advertising complaints and oversold stock.
This page covers only the implementation conditions, document differences and checking steps for citation sources and tracing inside store service and internal training. It does not describe business functions that lack a documented basis.
The knowledge base search node can associate one or more knowledge bases that share the same vector model; knowledge bases with different vector models cannot be associated together. The citation content is output as an array, and its length may be zero, meaning the output path still runs even when nothing is retrieved. After retrieval results reach the answering step, each answer must be checked line by line against the cited original text. Semantic recall and the minimum relevance value affect ordering and filtering of content; they do not perform permission isolation or entity isolation. Image retrieval requires the corresponding image input and model capability, and reranking requires an available model and being enabled in settings. These optional paths do not mean every request executes all of them.
A hypothetical paper exercise sample: the store training material text reads, "The March 2025 version of the product explanation card states that product A purchased in the brand livestream room is eligible for a seven-day no-reason return, valid from 1 March 2025 to 31 March 2025." A draft sentence awaiting judgment reads, "Product A is eligible for a seven-day no-reason return." The comparison must check whether the draft sentence states the version, the valid period and the applicable channel. The original text does not state signing, approval or authorization status, so that item remains unknown.
Constraints at the citation tracing step
The search node returns citations as an array whose length may be zero. An empty array is not the same as a workflow that has failed or stopped. The citation input must be handed to the answering step, and the answer must be compared against the cited original text item by item. A fluent answer or a visible thinking process does not substitute for source evidence.
The minimum relevance value operates only under semantic retrieval or when result reranking is used, and it is a filtering threshold rather than a final ordering rule. When question optimization, hybrid retrieval, image retrieval or result reranking is active, final results may pass through multi-path recall fusion and need not follow a single vector similarity order. A relevance score is not a category, entity or permission filter, and it does not exclude unrelated businesses or unauthorized records. Retrieval is not authorization.
For the hypothetical sample above, the draft sentence omits the version, the valid period and the applicable channel that the original text carries. The original text also leaves signing, approval and authorization status unstated. Those gaps stay as gaps; they are not converted into a negative finding or a conflict.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | Reason and comparison object |
|---|---|---|
| Associated knowledge bases | Store training material base and explanation card base | First check the vector model identifier of both bases and exclude bases with different vector models |
| Citation upper limit | 3000 tokens as the hypothetical starting point | Compare with the actual citation length of the previous session and observe whether truncation occurs |
| Minimum relevance | 0.4 as the hypothetical starting point | Compare the number of returned items against 0.3 and 0.5 |
| Search mode | Hybrid retrieval | Compare numbered-item hits against semantic retrieval alone |
| Result reranking | Enabled | Compare ordering against the disabled state |
| Reply format | Default | Compare against a fixed-structure requirement using json_schema |
These values are hypothetical starting points for this exercise, not official defaults.
Three common errors
- Treating the citation array output of the knowledge base search node as an authorized business action. Input: the output of the search node. Comparison: whether that output carries an approval or authorization field. Observable result: the output contains citation content only, and authorization status remains unknown.
- Treating the minimum relevance value as a permission filter. Input: a retrieval request from a store account. Comparison: whether returned content exceeds the range that account may access. Observable result: relevance changes ordering only and does not exclude unauthorized records.
- Forcing an association between knowledge bases with different vector models. Input: two bases whose vector model identifiers differ. Comparison: whether the identifiers match. Observable result: bases whose identifiers do not match must be excluded, and no missed-recall result is invented.
How to verify the setup
- Input the hypothetical original text and the draft sentence above. Compare whether the draft sentence states the version, the valid period and the channel. The condition is met when the draft sentence shares the same subject, the same period and the same field with the original text and the value matches. When the period or channel is not stated, record it as unsupported.
- Input an explicit paper-level empty array []. Compare whether the downstream answering step continues through with empty citations. The condition is met when the path does not break on the empty array, and no claim is made that a fictional rule retrieval must return an empty array.
- Input two knowledge bases whose vector model identifiers differ. Compare whether the identifiers match. The condition is met when only matching identifiers are associated, and the actual observation for non-matching ones is recorded without running cross-model retrieval to compare missed recall.