Reference only; verify against the target FastGPT release and deployment documentation.
What this category’s data looks like
Data for this category originates from the budget management integrated system, centralized treasury payment system, accounting system, and asset management system. Updates occur annually. Common documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. Most datasets combine structured tables and explanatory text. Fields cover revenue and expenditure details, asset and liability items, budget execution difference explanations, and no additional custom attached fields.
Constraints on vector models and indexing workflows
The annual update cycle eliminates the need for high-frequency incremental indexing. A periodic full reindexing strategy is suitable. Structured and text data from multiple systems requires retaining table structure associations during indexing, to prevent loss of field correspondence after splitting. Final account explanation texts are typically lengthy, so chunking rules must be adjusted to fit the vector model’s token limit. Report data from multiple budget units needs classified indexing to separate declaration materials for different entities, avoiding cross-entity matching interference.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Fits the length of department final account explanation texts, avoids exceeding vector model token limits |
| Overlap Length | 100–200 characters | Retains cross-chunk context association, ensures semantic completeness of account statement difference explanations |
defaultToken | 1024 | Matches the maximum input token limit of most open-source vector models |
maxToken | Calibrated via actual testing | Adapts to the context window of locally deployed language models, avoids truncating critical data |
| Similarity Threshold | 0.75–0.85 | Filters low-match cross-department report data, improves review accuracy |
| Single Retrieval Recall Cap | Top 10 entries | Controls the number of retrieval results, fits the volume scale of annual final account materials |
Three common configuration errors
- Retrieval results may include non-target report data from other budget units. This happens when independent classified indexing is not configured for individual units, causing declaration materials from different entities to be indexed together.
- Vector generation may fail with an error indicating token limit exceeded. This occurs when chunk length and
maxTokenparameters are not adjusted, and default long-text chunking is used directly, exceeding the model’s supported token limit. - Retrieval results may be too coarse-grained, failing to match specific revenue and expenditure account items. This happens when a reasonable overlap length is not set, causing loss of association between table headers and corresponding row data during chunking.
How to confirm proper configuration
- Upload a single Excel file of a department final account statement, run a chunking test, and verify that the chunked text retains the association between table headers and corresponding rows, with no obvious truncation.
- Call the vector generation interface, confirm that the generated vector length matches the
defaultTokensetting, and no abnormal truncation prompts appear. - Retrieve final account materials for a specified budget unit, check that retrieval results only include declaration documents from that unit, with no cross-entity interfering content.
- Adjust the similarity threshold, compare changes in the number of retrieval results, and confirm that the threshold adjustment meets the accuracy requirements of business review.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.