What the documents look like
Central chain procurement draws on ERP purchasing records, WMS data, store POS data and supplier delivery data. The documents handled day to day are centralized procurement contracts, replenishment plans, delivery notes and store requisition forms, with updates occurring daily and weekly.
For document parsing and chunking, the relevant structure is what each material carries. A centralized procurement contract holds the supplier entity, the material, the price and the validity period. A replenishment plan holds the store, the material, the quantity and the wave. Delivery notes and requisition forms hold a document number, a receiving party and a status. These fields determine whether a chunk can still point back to an identifiable document and version after splitting.
Two consequences follow for this category. Because procurement and distribution documents are versioned and dated, a chunk that loses its effective range or its counterparty cannot support later reconciliation. Because the same original data can carry several indexes, one block of source text may be reachable through more than one retrieval path while remaining a single record.
Constraints at the document chunking step
Chunking follows the structure of each material type. Conditions, explanatory text and the content they constrain stay together, so a retrieved fragment does not lose its subject or its scope of application. Original data and retrieval indexes are distinct layers; a single group of original data can correspond to multiple indexes.
Retrieval locates content and does not perform authorization. The accessible range of supplier materials is controlled on the business side, and a similarity threshold is not a category, entity or permission filter. Terminology queries, number queries and natural-language queries place different demands on segmentation: number and model queries depend on exact full-text hits, while natural-language queries depend on semantic recall.
Hypothetical paper exercise sample. A chain enterprise supply chain center retains a paper extract of a centralized procurement contract. The source text reads: "Party A is a chain enterprise supply chain center; Party B is a food supplier; this contract takes effect on March 1, 2025 and remains valid until February 28, 2026; the subject matter is grade-one flour, and the settlement price is subject to the replenishment plan confirmation form." A draft sentence awaits judgment: "The supplier continues to supply under this contract in March 2026." The comparison object is the contract's effective date and validity period fields. The draft sentence concerns March 2026, which falls outside the stated validity period.
Configuration and implementation checks
The table below lists documented settings or implementation checks relevant to document parsing and chunking for this page. The values are starting points for this hypothetical exercise, used for comparison against retrieval observations, and are not official defaults.
| Configuration item | Hypothetical starting point and reason | Check method |
|---|---|---|
| Search mode | Hybrid retrieval, because the sample contains both number and natural-language queries | Search with "grade-one flour", "March 1, 2025" and a natural-language question; observe the hit fragments |
| Minimum relevance | Set to 0.4 as a starting threshold for filtering low-relevance fragments | Compare against returns with no threshold; record what is filtered out |
| Citation limit | Set to 3000 tokens to bound a single citation | Observe whether returned content covers the contract parties, validity period and subject matter |
| Question optimization | Not enabled for this sample, which is a single clear question | Compare retrieval terms and elapsed time with the setting on and off |
| Result reranking | Enabled when candidate fragments are numerous; observe the 0-1 score | Record rerank scores and changes in citation order |
| Chunking check | Split along contract clause boundaries, preserving parties and validity period | Check whether each segment can point back to the source clause |
Three common errors
- Treating a successful upload as an updated retrieval index. After source material changes, the actual training and index state must be checked; the upload action itself does not indicate that the index has taken effect.
- Treating a similarity score as a permission or entity filter. Minimum relevance only filters low-relevance results and does not exclude unrelated businesses or unauthorized records; retrieval does not perform authorization.
- Treating a pending request as an approved execution. In the sample, the draft sentence concerns a period outside the stated validity. A pending-verification status does not support the conclusion that the contract remains in force; signing, reaching cooperation and contract effectiveness are three distinct facts.
How to verify the setup
- Input the sample contract text and the draft sentence, then compare March 2026 as stated in the draft with the contract's stated validity end of February 28, 2026. If the retrieved fragment fully contains the effective date and validity period fields, the draft sentence can be judged as outside the stated range and unsupported. This is an expected outcome, not a completed test.
- Input the number "grade-one flour" and a natural-language question, then compare whether both query types return fragments that preserve the supplier entity and the subject matter field. If the number query hits and the natural-language query returns no result, record this as a segmentation gap for semantic recall. Do not infer a system error.
- Input an explicit paper-level empty query set and check how the downstream design handles empty results. If the downstream handling of empty results is undefined, record this as an evidence gap. Do not assert that retrieval necessarily returns an empty set.
Across these checks, keep the same subject, the same period and the same field. A contradiction requires mutually exclusive values in the same field. Unstated conditions, or evidence that only reaches a related stage, remain unsupported or pending verification. A pending review does not demonstrate a lack of operating authority. A quotation validity period does not state a supply period. Where verification requires material that is not present in the accessible retrieval scope or in an explicit manual input, record the gap and leave it open.