What the documents look like
Brand-operated livestream rooms carry their own scripts, inventory responsibility and after-sales handling, with no dependence on influencer commission as the main commercial basis. The daily handover material for this category consists of livestream scripts, product explanation cards, shift schedules and livestream retrospectives. These documents are produced before and after each session and involve the permission boundaries of hosts, floor controllers and traffic specialists. Retrieval at this step needs to return content about permission status, handover recipients and effective scope so that operations staff can check it. The material is generated per session and can change within hours, which means the retrieval step is repeatedly asked about states that may already have moved on.
Constraints at the retrieval step
The knowledge base search node can associate one or more knowledge bases that use the same vector model. Knowledge bases built on different vector models cannot be associated together; the model identifier is checked first and non-matching bases are excluded. Search mode is compared across semantic, full-text and hybrid retrieval according to the test question, and no single mode is presumed suitable for all material. The reference upper limit is measured in tokens; material of differing lengths is used to observe whether returned content is complete, and the limit is adjusted afterwards. The minimum relevance value takes effect only under semantic retrieval or when result reranking is used; relevant and irrelevant samples are labelled first and the threshold is compared against them. Question optimization performs coreference resolution and question expansion; the original question and the optimized question are compared to check whether the subject has been altered incorrectly. The output reference content is returned as an array and its length can be zero, which means the output path still runs even when nothing is retrieved. Retrieval is the process of obtaining reference content and does not perform authorization determination. Semantic recall and relevance scores do not perform permission or entity isolation.
Hypothetical paper exercise sample: the source material reads "Shift schedule for 10 March 2025: host A covers the 20:00 to 22:00 session, floor controller B covers comment-section management for that session. Product explanation card number SP-0310 applies to the 10 March 20:00 session. The livestream retrospective table records that this session was submitted on 11 March." Draft sentence to be assessed: "Host A holds modification permission for product explanation card SP-0310 for the 10 March 20:00 session." This sentence concerns subject host A, object product explanation card SP-0310, period the 10 March 20:00 session, and field modification permission. The material does not state who holds modification permission, so the draft is unsupported.
Configuration and implementation checks
| Configuration item | Setting or check for this page | Hypothetical trial starting value and comparison method |
|---|---|---|
| Associated knowledge bases | Select the brand livestream operations document base and verify that the vector model identifier is consistent across bases | The hypothetical trial starting point is one associated base; compare whether the vector model identifiers of different bases are identical |
| Search mode | Choose semantic, full-text or hybrid retrieval for handover permission questions | The hypothetical trial starting point is hybrid retrieval; compare recall differences between identifier-type questions and natural-language questions |
| Reference upper limit | Measured in tokens; use material of differing lengths to observe content completeness | The hypothetical trial starting point is 2000 tokens; compare whether recalled shift-schedule and explanation-card content is truncated |
| Minimum relevance | Takes effect only under semantic retrieval or when result reranking is used | The hypothetical trial starting point is 0.3; compare filtering of labelled relevant and irrelevant samples |
| Question optimization | Performs coreference resolution and question expansion; compare original and optimized questions | The hypothetical trial starting point is enabled; compare whether the subject of "permission for that session" is altered incorrectly after optimization |
| Result reranking | When a ReRank model is available and enabled by configuration, candidate text is reordered | The hypothetical trial starting point is enabled; compare candidate order before and after reranking |
Three common errors
- Treating retrieved recall content as an authorization basis. Input the draft sentence "Host A holds modification permission for product explanation card SP-0310 for the 10 March 20:00 session", compare it against whether the source material states who holds modification permission, and record the result as unsupported when the material does not state it, without concluding that permission is held.
- Associating knowledge bases that use different vector models. Input two knowledge bases whose vector model identifiers differ, compare whether the identifiers are identical, and when they differ, exclude the non-matching base and record the actual observation instead of running a cross-model retrieval to compare missed recall.
- Treating a pending-review state as approval. Input the handover request "floor controller B applies for comment-section management permission for the 10 March session, status pending review", compare whether the material contains an approval record, and when only the pending-review status exists, record it as awaiting verification rather than concluding that authorization has been granted.
How to verify the setup
- Input the source material and the draft sentence from the hypothetical exercise sample, compare whether the material states the authorization status of subject, object, period and field, and when the material does not state modification permission, the output should record the result as unsupported and should not output a definite authorization conclusion.
- Input an association request for two knowledge bases whose vector model identifiers differ, compare whether the identifiers are identical, and when they differ, the output should exclude the non-matching base and record the actual observation, with no cross-model retrieval result appearing.
- Input a paper empty-result array [], compare whether the downstream design accepts empty reference content, and the output path should run through without claiming that a fictional rule retrieval necessarily returns [].
The checks above describe expected observations rather than completed tests. Whether a downstream system writes a permission record, approves a handover or synchronizes externally depends on implementation outside the retrieval step, and no such action is asserted here.