What the documents look like
For product questions in JD POP seller operations, this page examines FastGPT document chunking. Desktop and wall-mounted rows of similarly named products need their variant hierarchy retained. The examples are hypothetical.
Constraints at the document chunking step
A proposed JD POP page has a common storage-rack heading. Its table says the desktop variant includes a base, while mounting hardware for the wall variant is listed separately. A note requires reading contents by the corresponding variant. A generic contents question therefore needs variant differences retained rather than both rows merged into one accessory set. Inspect subrow identities during parsing and whether bases, mounting hardware and their variants remain traceable after chunking. A shared series heading does not establish identical contents for both products.
Configuration and implementation checks
| Original or chunk check | Specific source relationship | Evidence action |
|---|---|---|
| Subrow identity | Desktop and wall-mounted variants | Check variant hierarchy. |
| Contents membership | Base belongs to desktop variant | Do not transfer to wall variant. |
| Separate-list scope | Wall hardware separately listed | Keep condition with that variant. |
| Unspecified variant | Series question lacks selected variant | Separate answers and retain selection gap. |
| Single-variant update | One row revision is not series-wide change | Inspect both variants and returns. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Original-document check | Compare original files with parsed output. |
Chunk completeness | Keep conditions traceable to their subjects. |
Data and indexes | Retain original-data and index evidence separately. |
Sample retrieval | Retest literal wording and natural questions. |
Post-update check | Inspect training or index state after updates. |
Three common errors
One common error detaches the wall row from its variant heading and attaches separately listed hardware to the desktop product. Another returns base and mounting-hardware terms without qualifiers, allowing the answer to combine both variants. Compare original rows, parsed hierarchy and actual blocks to distinguish shifted scope from assembled contents. A series-level search entry still requires the specific original data supporting each item. Covering a series in search wording cannot establish complete accessory scope for every variant. If the question omits the variant, preserve that selection gap.
How to verify the setup
Acceptance should ask about desktop, wall-mounted and unspecified-variant contents separately. Returned blocks need their variant qualifiers. The answer should attribute the base and separately listed hardware correctly without inventing the wall-hardware list. After revising one variant, inspect actual processing and index state and retest both variants to detect imported older rows. Uploading one revision cannot establish changed contents for the other variant or actual answer use of the update. Preserve each original row beside its block to locate whether a failure affects one variant or the whole hierarchy.
| Material context | Scope |
|---|---|
| Document types | Product Information Sheet, Shipping Time Agreement, Dispute Resolution Form and Warranty Service Records |
| Candidate sources | JD Seller Backend, JD Help Center, JD Open Platform Rules and Logistics Tracking |
| Technical baseline | FastGPT v4.17.2 |