What the Data for This Use Case Looks Like
Data comes from centralized treasury payment systems, unified budget management systems, electronic invoice platforms, and contract management systems, with daily updates. Processed documents include payment applications, fund appropriation plans, invoices, contracts, acceptance reports, reimbursement approval forms, and payment vouchers. Fields cover budget indicators, economic classification, payment amounts, approval workflow nodes, and more. A single business transaction links multiple types of heterogeneous documents, with no unified fixed format template. Review staff must verify cross-system linked information one by one.
Constraints Imposed on Citation Sources and Traceability by These Characteristics
The heterogeneous data sources across multiple systems require traceability functionality to support cross-platform document association mapping, to avoid disconnected cross-system data. The daily update frequency requires balancing incremental synchronization and full verification, to prevent old data from being incorrectly cited. The feature that a single business transaction links multiple types of documents requires binding a unique business identifier during recall, to ensure traceability points to specific documents such as payment applications and invoices, rather than relying solely on keyword matching. Errors can lead to incorrect fund disbursement or audit risks, so traceability results must clearly mark the storage path and generation time of the original document.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | The total length of compliant documents linked to a single business transaction in this use case typically falls within this range, and it aligns with the token limit rules of FastGPT v4.17.0 to avoid truncating critical review basis |
responseData | Return original document metadata and fragments | Retain metadata such as the generating system, approval nodes, and generation time of documents, to meet the compliance traceability requirements of fiscal review |
detail | Enable full traceability mode | Ensure that referenced content can be directly mapped to specific paragraphs of original documents, to meet the dual traceability requirements of policy basis and business documents in party building learning Q&A |
| Single search limit | Top 5 results | The number of documents linked to a single business transaction typically does not exceed this value, to avoid recalling redundant irrelevant content and improve traceability efficiency |
| Maximum context | 4000–6000 characters | Calibrated through actual testing, it adapts to the context length requirements after splicing multiple documents, and meets the content display requirements of party building learning Q&A |
Three Common Misconfigurations
- Issue: After local deployment, the knowledge base disk usage is much higher than expected, and storage resources are insufficient. Cause: No document deduplication and incremental synchronization strategy is configured, resulting in repeated storage of original files, split chunks, and embedding vectors.
- Issue: Only fragments are returned in citation results, and original document metadata is not displayed, making it impossible to trace specific documents. Cause: The
responseDataparameter is not configured correctly, and the metadata return switch is not enabled. - Issue: Q&A times out and returns empty results. Cause: The
quoteMaxTokenvalue is not adjusted according to the characteristics of the use case data, resulting in token limit exceeded in a single round of requests triggering a timeout.
How to Verify Successful Configuration
- A user submits a simulated party building learning Q&A request for treasury payment review, and verifies whether the returned results include metadata such as the system source and generation time of the original document.
- A user reviews the traceability link of the referenced fragment, and confirms that it can jump to the specific paragraph of the corresponding business document to verify that the
detailparameter configuration takes effect. - A user monitors the token consumption of a single round of requests, and confirms that it does not exceed the preset
quoteMaxTokenvalue with no truncation occurring. - A user reviews the knowledge base storage directory, and confirms that only necessary original files, split chunks, and embedding vectors are retained with no redundant repeated storage.
The values provided are common starting points and should be evaluated against the reader’s own sample data.
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.