What the Data for This Category Looks Like
Data for declarations and case file review in basic telecommunications operations primarily comes from business acceptance systems, qualification review archives, and billing ledgers. It generates in real time with each individual business submission, and is archived and organized quarterly. Document formats include structured Excel ledgers with fixed fields, PDF case file scans with approval traces, standardized declaration forms, and attached files no larger than 100 MB. Core fields include the unified social credit code of the applicant entity, business handling type, case file number, and review node status. Units are based on "volume" and "copy".
Constraints Imposed on Knowledge Base Retrieval and Recall
The fixed column structure of structured Excel ledgers causes automatic segmentation to split across rows or split fields. Targeted adjustments to segmentation rules are required. Real-time generated business data requires the knowledge base to support incremental synchronization, to avoid recalling expired archives. PDF case files with approval traces contain mixed multi-page content, so support for cross-page content associated recall is needed. Attached files under 100 MB must support image-text associated retrieval, to avoid only recalling text content. Structured data with multiple fields requires retrieval to match specified business fields, otherwise irrelevant case files may be recalled.
Configuration Guidelines
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.72–0.80 | Matching range for standardized text of basic telecommunications declaration materials, filters low-correlation general templates |
limit | Top 8 entries | Adapts to the number of past cases that need to be associated for single case file review, covers common qualification review and business change scenarios |
searchMode | Vector retrieval + keyword hybrid | Balances keyword matching for structured fields and semantic recall for unstructured approval text |
usingReRank | Enabled | Re-ranks recall results based on current review requirements, corrects semantic bias from vector retrieval |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands retrieval terms based on declaration business type, covers industry-specific terms and synonyms |
Three Common Misconfigurations
- Recall results only return text fragments and do not include scanned attachments of declaration materials: This occurs when image-text associated retrieval is not configured, and the dataset association relationship between declaration materials and attachments is not bound.
- An undefined model error occurs when configuring embedding models: This happens when an embedding model supported by FastGPT is not selected. Structured text for basic telecommunications business requires an embedding model adapted to industry text, so the model support list must be verified in advance.
- Automatic segmentation of multi-column Excel business ledgers is chaotic: Using the default automatic segmentation rule splits fixed fields across rows, making it impossible to match complete business entries during retrieval. Adjust segmentation to split by row or by business entry.
How to Verify Proper Configuration
- A test basic telecommunications business declaration material is uploaded, retrieval is executed, and recall results are checked for inclusion of similar past case files.
- The configuration panel is viewed, and configured parameter values such as
similarityandlimitare confirmed to match business requirements. - A multi-column Excel test file is submitted, and automatic segmentation is checked to split by business entry with no cross-row splitting.
- A simulated review conversation is triggered, and recall results are checked for sorting by relevance and inclusion of associated attachment content.
The values provided here 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.