What the documents look like
Brand-run livestream rooms carry their own scripts, inventory, and after-sales commitments, and creator commissions are not the main cost item. That difference shapes which documents matter at the citation tracing step. The livestream script and the product explanation card directly determine fulfillment wording and after-sales promises, so when a citation source disagrees with the script text, the exposure includes false advertising complaints and oversold inventory. The shift schedule records which group handles after-sales questions for a given session. The livestream review records session outcomes such as completed orders. Data sources named in the brief include the Douyin Shop Compass, Juliang Qianchuan, livestream comments, and transaction details, with per-session and hourly update frequencies. This page handles only citation source and tracing checks for order fulfillment and after-sales question answering. It does not cover batch synchronization or transaction-triggered mechanisms.
The four working documents are the livestream script, the product explanation card, the shift schedule, and the livestream review. At the citation tracing step, the practical question is whether a drafted reply or handover statement can be traced back to the specific field in the specific document version that supports it.
Constraints at the citation tracing step
The knowledge base search node can associate one or more knowledge bases that share the same vector model. Its reference output is an array, and the length may be zero, which means the downstream chain still runs even when nothing is retrieved. Retrieval output must be passed to the answering step, where the reply is checked line by line against the cited source text. Semantic recall and relevance scores do not perform permission or entity isolation, and the same-vector-model requirement for associated knowledge bases does not extend to external systems such as business registration sites. Hybrid search merges results through RRF, reranking requires a model and must be enabled by configuration, and image retrieval requires image input together with model capability. These optional paths are not executed on every request. Thinking budget belongs to model thinking configuration and is unrelated to the reference token limit.
Hypothetical paper exercise sample. The source material reads: "Session of 1 March 2025, 20:00. The product A explanation card states 'shipped within 48 hours after payment, 7-day no-reason return supported.' The shift schedule states that after-sales question answering for this session is handled by Group A. The livestream review states that this session recorded 120 completed orders." The draft sentence to be assessed reads: "For product A in this session, shipping is promised within 24 hours, and returns are handled by Group B." The check covers subject product A, session 1 March 2025 20:00, and the fields of shipping time limit and after-sales handling group. The draft sentence and the explanation card and shift schedule take mutually exclusive values on the same fields, which is a contradiction. If the material only stated that after-sales training had been arranged and contained no handling group record, the result would be unsupported, and the evidence gap would be recorded.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | Reason and comparison object |
|---|---|---|
| Associated knowledge bases | Product explanation card base and livestream script base | Both must carry the same vector model identifier to be associated together; compared against the shift schedule base identifier, mismatches are excluded |
| Search mode | Hybrid search | Shipping time limits and return rules contain numbers and proper terms; compared against pure semantic search recall results |
| Result reranking | Enabled | When candidate results are numerous, filter by rerank score; compared against ranking results without it enabled |
| Reference limit | 2000 tokens as the hypothetical starting point for this exercise | Controls reference content length; compared against the length of a single explanation card entry before adjustment |
| Minimum relevance | 0.4 as the hypothetical starting point for this exercise | Filters low-relevance results; compared against the rerank score distribution, and not treated as a permission filter |
| Reference content handover | Retrieval output passed to the answering step | Reply checked line by line against cited source text; an empty array is checked separately against downstream design |
These values are hypothetical starting points for this exercise and are not official defaults. The configuration dialog shows available options according to model capability, and options are not displayed when the model does not support them.
Three common errors
- Treating retrieval output as authorized execution. A returned reference array only shows what was recalled. Order fulfillment and after-sales handling still require downstream business verification, and retrieval alone does not constitute authorization.
- Treating an empty reference array as a process failure. The reference length may be zero, and the chain still runs with an empty array, so the downstream design must be checked for how it handles that case.
- Forcing knowledge bases with different vector models into one association. The vector model identifiers should be checked first, mismatches excluded, and the actual observation recorded, without inferring missed recall or redundant results.
How to verify the setup
- Input the draft sentence and the explanation card and shift schedule source text from the hypothetical sample, compare the shipping time limit field and the after-sales handling group field, and judge a contradiction when the draft values and the source values are mutually exclusive on the same fields; the draft must then be sent back for revision.
- Input a clearly written paper reference array of
[], compare whether the downstream answering step handles it according to its empty-result design, and observe whether the chain continues to execute, without claiming that a fictional rule search necessarily returns an empty array. - Input two materials covering the same session, the same product, and the same field, compare whether the field values agree, and judge the result as unsupported with a recorded gap when only related-stage evidence is stated, without judging it as a negation or a conflict.
This page addresses only brand livestream room operations, order fulfillment and after-sales question answering, and citation source and tracing. At operational handover, which materials, actions, and requests sit at which authorization state must be kept clear, and retrieval or a form must not be treated as authorized execution.