What the documents look like
For multilingual work in Franchise fee settlement, this page examines FastGPT vector indexes. Store-fee indexes must distinguish category definitions from incurred or deducted charges. The examples are hypothetical.
Constraints at the vector indexes step
Proposed store-fee material is a category glossary that records no current-store occurrence. Its English note says no deduction entries are included. A question about whether a category was charged needs a store transaction beyond terminology. Indexes may help locate questions about deduction evidence but cannot name a glossary entry as an actual deduction or assume expenditure from fee wording. This exercise supplies no amount, rate or real charging rule. It compares document nature and evidence objects so that related vocabulary cannot replace an actual account record for the store.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Document nature | Category glossary | Do not treat as deduction record. |
| Content gap | No entries included | Do not infer that no deduction occurred. |
| Record subject | Current store | Check shared general names. |
| Period scope | Needed in actual record | Do not join other periods. |
| Monetary parameters | Neither supplied nor invented | Check evidence type only. |
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, an index may turn a category entry into a deduction record; inspect glossary type and original content and seek a separate store transaction. Second, no entries may become no deduction occurred; preserve the limited content gap instead of treating a missing attachment as an absent event. Third, a general platform label may merge with a similarly named store issue; inspect store, period and issue identity instead of inferring one transaction from a common name. These concern document type, missing content and record ownership, without calculating or presuming real charges.
How to verify the setup
Ask what a term means, where the store record is and which period it covers, retaining returned indexes and actual originals. Multiple indexes for one glossary are not multiple account entries. Check model consistency within multiple bases linked to the same retrieval node when relevant. This exercise queries no real account, determines no payment obligation and provides no quotation. Failure to retrieve a transaction does not establish that no charge occurred; absence from the category page also establishes no inapplicability. Independent store evidence is needed before answering actual occurrence.
| Material context | Scope |
|---|---|
| Document types | Franchise Fee Invoice, Deposit Ledger, Deduction Notice and Contract Payment Plan |
| Candidate sources | Financial System, Franchise Contract, Bank Statement and Store Violation Records |
| Technical baseline | FastGPT v4.17.2 |