What the documents look like
Creator commission settlement and commission deduction take place after a sale is completed. The records reviewed at that stage are valid promotion orders, refund deduction details, and settlement statements. Inventory procurement and supplier records form a separate class of base material. They carry the supplier entity, the procurement batch, the received quantity, and the settlement basis, and they are refreshed on a weekly or monthly rhythm. When this material enters a knowledge base, the quality of parsing and chunking decides whether a later search can locate the same supplier, the same batch, and the same period. If the entity name, contract number, batch number, and amount fields inside a record are split apart, a search result cannot point back to its source text, and the reconciliation work done by finance settlement staff and creator business staff loses its reference.
Supplier records frequently place payment terms, commission deduction rate, and validity period inside one paragraph. Once a condition and the content it governs are separated, a matched fragment arrives without the premise that applies to it. Original data and retrieval indexes need to be treated as distinct: one group of original data can map to several indexes, and adding indexes does not change which original data the group belongs to. A retrieval result does not perform authorization judgment. Finding a supplier record does not mean that entity has passed onboarding review or has completed contracting.
Hypothetical paper exercise sample: a supplier record reads "Supplier A, contract number GYS-2024-018, procurement batch PC-0715, received quantity 1200 units, payment terms 30 days after acceptance, commission deduction rate executed per the settlement statement." The draft sentence to be assessed is "Supplier A has completed onboarding and is authorized for settlement." The onboarding and authorization states in that draft sentence are not stated in the source text, so the sentence is unsupported.
Constraints at the document chunking step
Chunking needs to keep paragraphs intact. A supplier paragraph that binds payment conditions to a batch and an amount loses its applicability when the condition is cut away from the constrained content. Index count and original data count are separate concerns, and a retrieval score reflects similarity between text, not the identity or permission status of a business entity. The minimum relevance value operates only under semantic retrieval or when result reranking is used, and it acts as a filter threshold rather than a final ordering rule. After question optimization, hybrid retrieval, image retrieval, or reranking is enabled, final results may come from multiple recall paths merged together, and they do not necessarily follow a single vector similarity order.
The reference limit caps how many tokens of content a single search can cite. It is not a top-k count, because chunk lengths in a mixed knowledge base vary widely and top-k results become unstable. RRF is a merge step that combines multiple retrieval channels; it is not a toggle that a page turns on. Reranking requires a rerank model and must be enabled by configuration. Image retrieval requires an actual image input and matching model capability.
A retrieval result carries no authorization effect. Locating a supplier record, a contract number, or a batch number does not confirm that the supplier passed review, that a contract became effective, or that settlement was approved. Those remain separate facts that require their own evidence.
Configuration and implementation checks
| Configuration item | Hypothetical starting point for this exercise | Reason for the choice and comparison method |
|---|---|---|
| Search mode | Hybrid retrieval | Supplier names and batch numbers need full-text matching while condition descriptions need semantic recall; compare against semantic retrieval alone |
| Reference limit | Hypothetical starting point of 2000 tokens | Supplier paragraphs contain conditions and amounts; set by paragraph length and compared against a 1000-token result for coverage |
| Minimum relevance | Hypothetical starting point of 0.4 | Filters low-relevance fragments; compare against 0.2 and 0.6 for false recall and missed recall |
| Question optimization | Enabled | Completes references during follow-up questions about a supplier batch; compare against the disabled state |
| Result reranking | Enabled | Performs second-pass ordering when candidates are numerous; compare ordering positions against RRF merge alone |
| Segmentation approach | Segmented by supplier and batch | Keeps conditions with the content they constrain; compare paragraph completeness against fixed-length splitting |
These are paper starting points for this exercise, not documented defaults. Each value is compared against an alternative to observe the effect on the named primary task.
Three common errors
- Merging records for different batches of the same supplier into one index. Input two batch numbers, compare the original data identifier each index points to, and observe whether cross-batch merging appears. When the original data identifiers differ, the records must not be merged.
- Treating a retrieval hit as proof that onboarding or authorization is in effect. Input the draft sentence "Supplier A has completed onboarding and is authorized for settlement," compare whether the source text states onboarding and authorization, and observe whether the judgment holds when the source text is silent. When the source text is silent, the judgment is unsupported.
- Using a similarity score to exclude an unrelated supplier. Input the name of Supplier B, compare the entity field in the returned fragment, and observe whether a higher or lower score changes entity attribution. A score does not perform entity filtering.
How to verify the setup
- Input contract number GYS-2024-018 from the hypothetical source text, compare whether the returned fragment contains that number together with the corresponding supplier entity, and observe whether the number and entity return from the same paragraph.
- Input the draft sentence "Supplier A has completed onboarding and is authorized for settlement," compare whether the source text states onboarding and authorization, observe whether the judgment is unsupported, and record the evidence gap.
- Input an empty query result, compare whether the downstream design handles it as an empty reference, and observe whether any record is fabricated. An empty result is checked as an empty reference; the retrieval rule is not inferred to always return empty.
For each check, the expected observation is stated, and no test is claimed to have been run. Where the source text is silent, the gap stays open rather than being resolved by assumption.