What this category of data looks like
State-owned capital operation company policy and regulatory basis data mainly comes from state-owned capital operation supervision documents issued by the State-owned Assets Supervision and Administration Commission of the State Council and the Ministry of Finance, as well as operation management rules and annual work report supporting systems formulated within the company. Data is updated irregularly, synchronized with regulatory policy adjustments and company business optimization. Most documents use official red-headed document formats, containing structured fields such as document number, issuing authority, effective date, scope of application and clause text. Some documents include supporting guidance attachments. Clause content primarily uses rigorous written expressions.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The rigorous written expressions in policy documents require retrieval results to accurately match original clause text. The retrieval logic must therefore prioritize semantic matching accuracy. The structured fields in red-headed documents support targeted filtering, but retrieval rules for the corresponding fields must be configured. Irregular data updates require the knowledge base to support incremental uploads and regular synchronization. Individual documents have long lengths, so chunk processing must retain clause context relevance to avoid truncating key regulatory requirements. Professional terms and document numbers are used frequently, so extended query support is needed to cover matching related expressions.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | State-owned capital policy documents use rigorous expressions. This threshold range avoids introducing irrelevant regulatory clauses while ensuring sufficient matching recall of policy basis |
limit | Top 6 entries | Individual policy documents have many clauses. Recalling too many entries at once exceeds the context window limit, while recalling too few fails to cover relevant policy combinations |
searchMode | Exact match priority | Clause expressions in policy documents are fixed. Exact match priority avoids recalling non-official documents that are semantically similar but not applicable |
usingReRank | Enabled | Policy documents have interrelated clauses. Reranking surfaces the most relevant clauses first to improve answer accuracy |
datasetSearchUsingExtensionQuery | Enabled | Policy questions often include professional abbreviations or document numbers. Extended queries supplement matching policy documents related to relevant terms |
collectionIds | Bind to the exclusive state-owned capital operation dataset | Differentiate between general knowledge bases and exclusive policy libraries to avoid recalling irrelevant content |
Three common errors
- The symptom is no parsing completion prompt after uploading a policy PDF, and search test results are empty. The cause is failing to bind the uploaded file to the exclusive state-owned capital operation dataset, or incorrect recognition of the red-headed document's header and footer during file parsing leading to incomplete text extraction.
- The symptom is the answer not citing knowledge base content, and the generated content deviates from the original policy text. The cause is setting the
similaritythreshold too high, resulting in failure to recall policy clauses with sufficient matching accuracy, or not enablingusingReRankleading to recall results sorted incorrectly for query needs. - The symptom is empty knowledge base information extraction in the workflow, or no matching content in search test results. The cause is setting the
limitparameter too low, and not enablingdatasetSearchUsingExtensionQuery, making it impossible to match policy numbers or professional abbreviations included in the query. Also confirm uploaded files are in PDF or DOCX formats supported by FastGPT.
How to confirm the configuration is correct
- Upload a test state-owned capital operation policy document, and check if the parsing status shows completed in the dataset management interface of FastGPT v4.17.0.
- Enter a specific policy-related question, run a search test, and check if the returned results include the clause content of the corresponding policy.
- Adjust the
similaritythreshold to 0.75 and 0.85 respectively, run tests, and observe if the number and matching degree of recall results change as expected. - Configure a knowledge base retrieval node in the workflow, bind the exclusive dataset, then run a test to confirm that the extracted information is not empty.
The values provided here are common starting points, and should be evaluated against relevant test 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.