What This Category of Data Looks Like
Data for this category comes from the unified budget management system, centralized treasury payment system, accounting system, and asset management system. The update frequency is annual. Daily documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. Data fields cover revenue and expenditure details, asset and liability balances, budget execution difference explanations, and more. Units are mostly yuan and ten thousand yuan. Document structures are fixed and must strictly match official submission formats.
What Constraints Do These Characteristics Impose on the "Vector Models and Indexes" Link?
The low-frequency annual update feature requires index construction to adapt to batch offline processing, avoiding redundant waste of computing resources. Heterogeneous data from multiple system sources requires unified field formatting, otherwise deviations will occur during vector generation. Official documents with fixed structures can have targeted chunking logic optimized, but the integrity of the original policy basis text must be preserved. Data volume increases as the unit hierarchy rises, so a balance must be struck between index efficiency and recall accuracy.
How to Set the Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the paragraph and report block lengths of department final account documents, avoiding splitting original policy basis text |
| Overlap Length | 100–150 characters | Retains policy-related context across chunks, preventing key basis content from being truncated by chunking |
| Similarity Threshold | Calibrated based on actual testing | Matches the rigor requirements of final account data, avoiding recall of irrelevant historical statement content |
| Single Search Limit | Top 8 entries | Balances recall coverage and context window capacity, meeting the precision needs of policy Q&A |
defaultToken | 4096 | Adapts to the content length of official documents, ensuring complete loading of policy basis text |
maxToken | 8192 | Supports context splicing after merging multiple chunks, meeting retrieval needs for complex policy queries |
Three Common Mistakes
- Index tasks remain in a running state for a long time with no progress updates. Cause: Failed to adapt the offline index configuration for annual batch data, and did not enable batch chunking optimization.
- Vector calculation scores are abnormally high, and multiple results have identical scores. Cause: Failed to unify the field formats of data from multiple system sources, leading to redundant deviations in vector generation.
- After importing 100,000 CSV data entries, the total number of entries in the dataset after vector completion is only over 90,000. Cause: Empty field rows with non-compliant formats were automatically filtered during chunking, and data integrity was not verified in advance.
How to Confirm Proper Configuration
- Import a single final account explanation document, check whether the chunked fragments retain the complete original policy basis text, with no key statements truncated.
- Initiate a query related to policy basis, verify whether the similarity score distribution of the recall results meets expectations, with no abnormally high or identical scores.
- Import the complete 100,000 CSV data entries, check that the number of entries in the dataset after vector completion matches the original data, with no unintended data loss.
- Check the index task running logs to confirm there are no frequent vector generation timeout errors.
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.