What data in this category looks like
Data is sourced from internal declaration and approval systems and archive management platforms of state-owned capital operation companies. It covers declaration materials for property rights transfer, budget adjustment, performance appraisal, and other matters. It also includes case documents for compliance audits and risk investigations. Update cycles combine quarterly centralized declaration periods and daily temporary submissions. Archives are updated annually after filing. Documents include structured form fields and unstructured PDF attachments. Structured fields include the declaring entity’s unified social credit code, declaration item type, submission date, and approval status. Most attachments are officially stamped documents. Declaration amounts use ten thousand yuan as the standard unit. Case numbers follow the standard coding rules of the state-owned assets system.
Constraints on vector models and indexing
The mixed structured and unstructured document structure requires indexing systems to support multimodal content vectorization. It also requires binding structured fields to text content in indexes to avoid broken semantic associations. The mix of centralized and daily incremental updates requires indexes to support on-demand full reconstruction and incremental synchronization. This prevents long reconstruction periods from blocking normal retrieval. Document lengths vary widely. Some form fields are only tens of characters long, while some PDF attachments span dozens of pages. This requires a chunking strategy adapted to different content lengths. It avoids semantic fragmentation from overly short chunks, and exceeding model context limits from overly long chunks. Unified coding and measurement rules from the state-owned assets system require indexes to retain standard units and coding formats when linking fields. This ensures semantic consistency during retrieval. Reference only; verify against the target FastGPT release and deployment documentation.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the single-page content length of PDF attachments, avoids semantic fragmentation or exceeding model context limits |
| Overlap Length | 100–150 characters | Connects semantic associations between adjacent chunks, prevents key content from being split across two chunks |
defaultToken | Calibrated based on actual measurements | Adapts to the general semantic vector generation requirements of state-owned assets documents, matches the parameters of the currently used vector model |
maxToken | 4096 token | Matches the context window limits of mainstream open-source vector models, ensures complete semantics after chunking long documents |
| Similarity Threshold | 0.75–0.85 | Filters low-relevance declaration materials and case content, improves retrieval accuracy |
| Single Search Limit | Top 10 entries | Meets the quick browsing needs of reviewers, avoids excessive redundant results interfering with judgment |
Three common configuration mistakes
- Phenomenon: Full index reconstruction takes more than 24 hours, and the interface shows the task is incomplete. Cause: Trigger conditions for incremental updates and full reconstruction are not distinguished. Daily incremental updates are mistakenly set to full reconstruction, leading to a backlog of repeated indexing operations.
- Phenomenon: Batch calls to the indexing interface return parameter format errors, and document indexing and storage cannot be completed. Cause: Unified associated fields are not bound in request parameters per the structured field requirements of state-owned assets documents. This prevents the index from correctly associating declaring entity information.
- Phenomenon: Retrieval results include a large number of irrelevant non-declaration documents. Cause: Structured fields are not included in index bindings, or a reasonable similarity threshold is not set. This leads to deviations in semantic matching.
How to confirm the configuration is correct
- View chunking logs generated by the index. Confirm that chunk lengths match the configured values, and there are no errors exceeding model context limits.
- Randomly select different types of declaration items, run retrieval operations, and confirm that the association between returned result fields and declaring entities is correct.
- Trigger an incremental index update. Confirm that the task completes normally, with no long-term stagnation.
- Check the total number of documents in the index collection. Confirm that it matches the actual number of stored documents, with no abnormal duplicates or omissions.
The values provided here are common starting points, and should be evaluated 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.