What This Category of Data Looks Like
This category of data mainly comes from the national basic catalog of government service items, administrative licensing item list, power and responsibility list, and local government service item databases. Daily maintained documents include the basic catalog of government service items, implementation lists, service guides, standard material catalogs, flowcharts, and frequently asked questions. The data update frequency is usually once per month. The document structure follows the full process of government service items, covering core fields such as item name, code, implementing entity, acceptance conditions, application materials, and handling process. Documents at different levels have field differences, and there is no unified fixed format.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Data sources for government service item catalog and service guide maintenance work are scattered and span multiple levels. This requires retrieval to cover associated matching across multiple datasets. The monthly update frequency requires the knowledge base synchronization cycle to align with the update rhythm, to prevent data lag from affecting ledger comparison. Diverse document types and large field differences require retrieval to balance semantic understanding and precise keyword matching, to adapt to various formats of government documents. Ledger comparison requires precise matching of item fields, so retrieval results must have high accuracy to avoid interference from low-relevance results. At the same time, retrieval scope must be limited to prevent mixing non-government service documents, ensuring compliance of maintenance work.
Configuration Settings
Configuration references for FastGPT v4.17.0 are listed below:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.72–0.80 | Government service item fields require precise matching, filter low-relevance non-item documents to ensure accuracy of ledger comparison |
limit | Top 8 entries | Cover multi-dimensional comparison needs of local-level items, superior catalogs, and implementation lists, avoid redundant recall |
searchMode | Semantic + keyword hybrid | Balance semantic understanding of government service item names and precise matching of field keywords, adapt to various types of government documents |
usingReRank | Enabled | Rearrange initial recall results, prioritize returning complete service guide and catalog documents with full fields |
datasetSearchUsingExtensionQuery | Enabled | Automatically expand query terms to cover synonyms and abbreviations of items, adapt to different expression habits for government service items |
collectionIds | Bind local government service item database and superior catalog datasets | Limit retrieval scope to avoid mixing non-government service documents |
Three Common Misconfigurations
- Phenomenon: Single knowledge base retrieval takes more than 3 seconds, page loading lags, and logs show vector generation accounts for a high proportion of total time. Cause: Cache configuration is not enabled. Vector embeddings are regenerated for every retrieval, and historical query results are not reused.
- Phenomenon: Retrieval results include a large number of non-government service documents that cannot be used for ledger comparison. Cause: Retrieval dataset scope is not limited via
collectionIds, so irrelevant business documents are mixed in. - Phenomenon: Item name matching results have many cases where abbreviations do not match official names, leading to errors in ledger comparison. Cause:
datasetSearchUsingExtensionQueryis not enabled, so query terms are not automatically expanded to cover synonyms and abbreviations.
How to Verify the Configuration
- Access the knowledge base configuration page of FastGPT v4.17.0, and confirm that the
similarityparameter is set to 0.72–0.80. - Initiate a test query using keywords related to government service items, and confirm that the number of returned results is no more than 8.
- Check the sorting of retrieval results, and confirm that service guides and catalog documents with complete fields are returned before other documents.
- Review the dataset binding configuration, and confirm that only datasets related to government service item catalogs and service guides are bound.
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.