What data looks like for this category
Data for this category originates from national public resource trading platforms, local trading platforms, engineering approval systems, and bidding supervision systems. Platforms update data daily. Daily documents include bidding announcements, qualification pre-qualification documents, bidding documents, bid submissions, bid evaluation reports, successful bid candidate announcements, and successful bid result announcements. Data fields cover qualification requirements, performance certificates, bill of quantities, construction periods, and other relevant items. This forms a mixed collection of structured and unstructured documents, and establishes a dedicated data link aligned with the engineering construction and bidding legal framework.
Constraints on Vector Models and Indexing from Data Characteristics
The daily updated data characteristics of this category require indexes to support incremental synchronization. This avoids excessive system resource usage from full reindexing. Multiple full-process bidding document types have significant structural differences. Differentiated chunking rules must be implemented for different document types such as bidding announcements and bid submissions. Professional engineering terms including qualifications, performance records, and bills of quantities require vector models to adapt to domain-specific semantic expressions. Data links to bidding sections and bid evaluation processes. Indexes must support grouped recall by bidding section, to ensure accurate context matching during review.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the typical paragraph length of bidding documents and bid submissions for this category, avoiding disruption of professional semantic meaning |
| Overlap Length | 100–150 characters | Compensates for context gaps caused by chunking, ensuring consistent semantics for cross-chunk terms such as qualifications and performance records |
maxToken | 8192 token | Matches the context window upper limit of most open-source embedding models, and accommodates long documents such as bid evaluation reports |
defaultToken | Calibrated based on actual measurements | Adapts to the batch size of incremental synchronization, and matches the daily updated data volume of this category |
| Similarity Threshold | 0.75–0.85 | Filters low-relevance submission materials, focusing on core review fields such as qualifications and bills of quantities |
| Single Search Limit | Top 10 results | Controls the scale of recall results, adapting to the quick verification needs of file review |
Three Common Configuration Mistakes
- Symptom: No corresponding business data displays in the backend after index synchronization completes. Cause: Incremental synchronization rules configured for the daily update frequency are missing, leading to full synchronization interruptions or incorrect association of incremental batches with the data source for this category.
- Symptom: The final chunk when splitting submission materials fails to generate valid vectors and enter the index. Cause: The chunk length setting exceeds the
maxTokenupper limit supported by the model, or the effective character count of the final chunk is below the preset threshold. - Symptom: The semantic matching degree between recall results and query questions is low when searching submission materials. Cause: Semantic features of the engineering construction domain are not adapted, or the similarity threshold is set unreasonably, leading to recall of irrelevant documents.
How to Confirm Correct Configuration
- View the data source synchronization log to confirm that daily incremental synchronization tasks trigger normally, with no error records.
- Randomly select a bidding document from this category, perform manual chunking testing, and confirm that chunk lengths comply with preset rules with no semantic disruption.
- Enter a qualification review-related query, and check whether recall results include qualification certificate documents for the corresponding bidding section.
- View the index management interface to confirm that the document count for this category matches the actual update volume of the data source.
The values provided here are common starting points, and should be evaluated against the samples associated with the actual operational context.
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.