What the documents look like
For procurement in JD POP seller operations, this page examines FastGPT vector indexes. Check spare aliases, model versions and substitution wording against original data. The examples are hypothetical.
Constraints at the vector indexes step
A proposed JD POP spare-procurement packet lists a knob cap, describes the internal shaft separately and offers an older model as a possible reference. A draft index calls it a universal knob assembly. The question asks about a complete replacement. The list covers the cap only, supplies no cap-and-shaft confirmation and leaves the earlier model as reference. Preserve component level and version instead of treating an informal shared knob name as a complete assembly. Possible reference supplies no universal fit, and every proposed index still needs its actual original target checked.
Configuration and implementation checks
| Original-data/index check | Specific subject relationship | Acceptance action |
|---|---|---|
| Component level | Purchase list names the cap; shaft has another description | Trace both components asserted by assembly to their own supporting originals. |
| Older-model status | Supplier offers an older model only as possible reference | Read tentative wording and model instead of inferring universal fit from structure. |
| Document purpose | A repair mentions a knob without establishing current supply | Inspect whether the returned page describes repair or current offered goods. |
| Index alias | Universal knob assembly adds both scope and components | Inspect its cap-block target and record each unsupported addition. |
| Procurement confirmation | Cap supply, complete-set supply and model fit are different questions | Record what each original supports and retain the remaining gaps. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Embedding model | Knowledge bases associated with one search node must use the same embedding model. |
Original data and indexes | One original data block can have multiple indexes. |
Index content | Index wording should be complete and focused. |
Image indexes | Where image retrieval is used, inspect descriptions or image vectors. |
Version and result check | After a change, reuse questions to compare originals. |
Three common errors
First, a cap may become an assembly in the index; inspect components and linked block for an added internal shaft. Second, older-model reference may become universal compatibility; seek model-specific applicability while preserving tentative wording. Third, a repair record may answer as a supply list; inspect document purpose and version, since mention during repair establishes no current supply. These concern composition, fit scope and source role. Similar names or vector scores replace no actual procurement specification and cannot establish that the complete requested set is available from the supplied material.
How to verify the setup
Ask which sources support cap, shaft and complete assembly, expanding actual citations and recording index targets. After alias edits, repeat the same questions to inspect whether the index still points to the cap rather than an older assembly; promise no identical matching for every synonymous question. Missing supply confirmation remains unresolved without implying impossible repair or an unqualified supplier. This exercise tests no physical fit and calls no purchasing or repair interface. Model and index changes create no component facts or real stock. Actual adoption still requires applicable corresponding records.
| 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 |