What the documents look like
Multi-warehouse allocation and inventory synchronization materials come from WMS, OMS, ERP inventory records, and platform inventory interfaces. Four document types are parsed routinely: allocation rules, inventory synchronization tables, transfer orders, and shortage alerts. These materials sit at the order-routing stage, where they determine which warehouse dispatches an order. The brief lists daily and hourly update frequencies; those cadences do not change the chunking behavior described on this page, so they are noted only as stated and not extended into batch, full-sync, real-time, or transaction-triggered mechanisms.
Allocation rules carry conditions, a scope of application, and an effective period. Inventory synchronization tables carry quantities, warehouse identifiers, and timestamps. Transfer orders carry a source warehouse, a destination warehouse, a material code, a quantity, a document date, and a status. Shortage alerts carry a threshold, a trigger condition, and a handling status. Chunking quality determines whether a later comparison can locate the specific clause, quantity, or status field.
Constraints at the document chunking step
Chunking must preserve the structure of each material. If the condition, scope, and effective period of an allocation rule are split across separate chunks, a comparison cannot determine whether that rule constrains a particular warehouse or a particular period. The quantity, warehouse identifier, and timestamp of an inventory synchronization table need to remain in one chunk. A transfer order involves a source warehouse, a destination warehouse, a material, and a quantity; chunking should retain these fields together. The threshold, trigger condition, and handling status of a shortage alert likewise need to stay complete.
One group of source data can map to multiple indexes. A longer material can be given several indexes, and retrieval of any one of them recalls that data. A leaner index content improves precision and sacrifices some retrieval range. The chunking strategy is chosen according to the material type.
Retrieval recalls candidate content. It does not perform authorization decisions. A similarity score reflects how closely content matches a query; it cannot be used to decide whether a material has been approved, whether a contract has taken effect, or whether a transfer has been executed. Signature, approval, and execution states recorded in the material are read from the source text and checked manually.
The documented search chain combines several paths. Semantic retrieval, full-text retrieval, or hybrid retrieval recalls candidates; RRF merges multiple channels; ReRank performs a second ordering. RRF is a fusion step in the pipeline, not a switch that is turned on. Optional paths in the overall flow diagram are not executed on every request: image retrieval requires an image input and the corresponding model capability, and reranking requires a rerank model enabled in the settings. Libraries built on different vector models cannot be associated with one another; the identifiers are checked first and non-matching libraries are excluded.
Configuration and implementation checks
The configuration below centers on one hypothetical paper sample. The source material for checking reads: "Allocation rule A: orders in the East China region are dispatched preferentially from the Suzhou warehouse; the applicable period is 1 March 2025 to 31 March 2025. Transfer order T-01: source warehouse Suzhou, destination warehouse Hangzhou, material code M-100, quantity 200 units, document date 5 March 2025, status pending review." The draft sentence to be judged reads: "In March 2025 the Suzhou warehouse transferred 200 units of M-100 to the Hangzhou warehouse."
| Configuration item | Hypothetical starting point for this exercise | Reason and comparison object |
|---|---|---|
| Reference limit | 2000 tokens | Starting point for this exercise, intended to hold a complete allocation-rule or transfer-order passage; compared with 1000 tokens to observe whether conditions and quantities are truncated |
| Minimum relevance | 0.3 | Starting point for this exercise, intended to filter low-relevance fragments; compared with 0.5 to observe whether key transfer-order fields are still recalled |
| Search mode | Hybrid retrieval | Materials contain natural-language rules and coded fields; hybrid retrieval uses semantic recall and full-text recall together |
| Question optimization | Enabled | The draft sentence contains reference and omission; enabling it completes the subject and object for comparison with the source |
| Result reranking | Enabled | When candidate fragments are numerous, text results are ordered a second time; the rerank score is 0-1 and can be used for filtering |
| Chunking method | Segmentation by material structure | Allocation rules and transfer orders each form a chunk, retaining condition, quantity, and status fields |
These values are hypothetical starting points for the exercise, not documented defaults. No error code or observed runtime result is claimed here. The reference limit uses the documented token unit. The minimum relevance value applies only under semantic retrieval or when result reranking is used; it is a filtering threshold, not a final ordering rule, and it does not filter out unrelated businesses or unauthorized records.
Three common errors
- Treating the transfer-order status "pending review" as a completed transfer. Pending review is a state that has not yet been approved, and the draft sentence "transferred 200 units" lacks an execution basis. The check compares the status field in the source with the verb tense in the draft sentence.
- Confusing the effective period of the allocation rule with the date of the transfer order. The allocation rule applies from 1 March 2025 to 31 March 2025, and the transfer order carries a document date of 5 March 2025; these are different fields. The check locates and compares each field separately.
- Using a retrieval score to judge whether a material has been authorized. A similarity score reflects content relevance only; it does not show that a transfer order has been approved or that a contract has taken effect. The check returns to the source text and reads the status field.
How to verify the setup
- Input the allocation-rule text from the hypothetical sample together with the draft sentence "In March 2025 the Suzhou warehouse transferred 200 units of M-100 to the Hangzhou warehouse." Compare the subject, object, material code, and quantity in the draft sentence with the transfer-order fields in the source. If the draft sentence does not mention the status pending review, the draft is unsupported and the evidence gap is recorded.
- Input the transfer-order text from the hypothetical sample and search for "T-01" and "pending review." Compare whether the recalled fragment contains the source warehouse, destination warehouse, material code, quantity, and status in full. If the recalled fragment lacks the status field, chunking has not preserved the complete structure and the chunking method is adjusted.
- Input an empty reference list [] to check downstream presentation logic. Compare how the downstream output behaves when no reference content is present. If the downstream behavior for an empty result is undefined, record it as pending verification and do not infer that retrieval necessarily returns an empty result.
The checks above are paper exercises and have not been executed. Retrieval checks observe only the correspondence between recalled fragments and the source text; they do not guarantee a first-position hit or complete recall. Libraries built on different vector models cannot be associated with one another; the identifiers are checked first and non-matching libraries are excluded rather than compared through cross-model retrieval. Any business action such as approval, contract effectiveness, or transfer execution requires downstream implementation that is not assumed here.