What This Category of Data Looks Like
Data for this category primarily comes from the national government service platform's "One Thing" special zone, local integrated government service platforms, electronic certificate repositories, and various departmental approval systems. Daily documents include joint handling item lists, one-time notice sheets, joint handling application forms, material circulation forms, parallel approval opinions, completion receipts, and similar materials. Data is updated daily. Most documents cover cross-departmental pre and post relationships, application materials, processing status, and other content. Fields are mostly linked to government service exclusive identifiers such as item numbers, department names, and processing time limits.
Constraints Imposed on Vector Models and Indexing
Scattered data sources and daily updates require indexes to support incremental updates, avoiding resource waste caused by full reindexing. Document types are diverse, including both structured list forms and unstructured approval opinions. Vector models must adapt to mixed-format text parsing to ensure consistent vector generation across different document types. Many fields have cross-departmental associations, so indexes must retain the relationship between items and departments, preventing loss of cross-department joint handling context during retrieval. Additionally, government data compliance requirements mean vector models and index storage must comply with government data security regulations, and retrieval results must strictly match the exclusive business logic of joint handling items.
Configuration 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 paragraph length of joint handling item documents, avoiding semantic fragmentation across items |
| Overlap Length | 100–150 characters | Retains joint handling process context across chunks, preventing breakage of pre/post relationships |
defaultToken | 8192 | Meets long text processing requirements for party building learning and government documents |
maxToken | 16384 | Supports integration of complete application materials and approval opinions from multiple departments for joint handling |
| Similarity Threshold | 0.75–0.85, calibrated via actual testing | Filters low-relevance non-joint handling item content, ensuring retrieval results match joint handling scenarios |
| Single Search Limit | Top 8 entries | Balances retrieval accuracy and response speed, adapting to cross-department related queries for joint handling items |
Three Common Configuration Mistakes
- Phenomenon: The specified added model does not appear in the text understanding model dropdown menu on the knowledge base creation page. Cause: The model is not bound to the vector model and indexing configuration group of the corresponding knowledge base, or the model deployment port is not opened to the FastGPT service network.
- Phenomenon: Only single-file training parameter adjustment before upload is supported, and batch retraining cannot be performed on the full joint handling document dataset. Cause: The batch vector update function of the knowledge base is not enabled, or batch processing task scheduling parameters are not configured.
- Phenomenon: A large amount of non-joint handling party building content is mixed in retrieval results, and cross-department processes cannot be accurately matched. Cause: The similarity threshold is set too low, or the chunk length does not adapt to the long paragraph structure of joint handling items, leading to chaotic semantic association.
How to Verify Correct Configuration
- Check the binding configuration of vector models and indexes, confirm that added models appear in the available list of the corresponding knowledge base.
- Upload a test joint handling item list document, perform vector ingestion, retrieve using test keywords, and verify that the relevance of retrieval results meets business expectations.
- Trigger an incremental update task, confirm that the system automatically synchronizes newly added joint handling document data on the same day, with no unnecessary full reindexing triggered.
- View the system configuration log, confirm that the values of parameters such as chunk length and
maxTokenmatch the preset configuration.
The values provided are common starting points and should be measured against the user'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.