What This Category of Data Consists Of
Data for business process guidance in government and enterprise IT services is primarily sourced from internally officially released business guidelines, window service notice sheets, system operation manuals, and policy-aligned process documents. Data updates are triggered irregularly alongside business adjustments, with no fixed schedule. Individual documents typically include structured fields such as processing steps, required materials, processing time limits, consultation channels, and processing locations. Units commonly used include workdays, copies, minutes, and other concrete measurement units. Document content focuses on professional, rigorous process descriptions, with minimal redundant wording.
Constraints Imposed on Knowledge Base Retrieval and Recall
Internal multi-source documents have inconsistent formatting, requiring the retrieval link to support text extraction across different layouts, to prevent loss of key process information due to formatting issues. Irregular update cycles require recall results to be linked to real-time index status, ensuring updated processes are synchronized to retrieval results in a timely manner. Structured field designs require retrieval to accurately match subdivided content such as specific steps and required materials, avoiding returning only full documents. Concrete unit measurements require retrieval results to correctly associate corresponding time limits, quantities, and other details, preventing unit matching errors.
Configuration Recommendations
For FastGPT v4.17.0, the following configuration recommendations apply to this scenario:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.65–0.80 | Government and enterprise documents have a high proportion of professional terminology. A threshold that is too low will introduce irrelevant process descriptions, while a threshold that is too high may miss key steps |
limit | Top 10 results | The steps for a single business processing flow usually do not exceed 8. Excessive results will increase screening costs |
searchMode | vector_search | Prioritize matching semantically similar process keywords, adapting to the retrieval needs of professional terminology |
usingReRank | Enabled | Government and enterprise documents are relatively long. Reranking can improve the sorting priority of highly relevant steps |
datasetSearchUsingExtensionQuery | Disabled | Business process terminology is relatively fixed. Extended queries may introduce irrelevant non-process content |
collectionIds | Specify the knowledge base collection ID corresponding to the business process | Limit the retrieval scope to avoid mixing document content from other business lines |
Three Common Misconfigurations
- Phenomenon: Retrieval results prioritize non-target content matched by pinyin, rather than semantically similar process steps. Cause: Semantic retrieval mode is not enabled, or the retrieval mode is incorrectly set to prioritize pinyin.
- Phenomenon: Knowledge base file uploads occasionally stall at the 1st or 2nd indexing stage. Cause: The locally deployed m3e-large embedding model has insufficient resource allocation for loading, or the uploaded file has hidden encoding format issues.
- Phenomenon: After deleting a question-answer pair from the knowledge base, retrieval results still return that content. Cause: The vector index for the corresponding knowledge base collection has not been regenerated, or the system cache has not been automatically cleared.
How to Verify Correct Configuration
- Upload a test document containing only a single business processing flow, specify the configured
collectionIds, initiate a retrieval, and confirm that returned results only include content from the test document. - Enter a query containing professional process terminology, and check that the similarity score of returned results falls within the 0.65–0.80 range.
- Enter a query containing pinyin, such as
banli buzhou, and verify that retrieval results prioritize semantically matching process steps. - Delete a test question-answer pair that has been added to the knowledge base, regenerate the vector index for the corresponding collection, initiate a retrieval, and confirm that the question-answer pair no longer appears in results.
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.