What this category of data looks like
This category of data comes from enterprise contract management systems, compliance risk databases, legal and regulatory repositories, case management systems, and reporting platforms. Daily documents include compliance risk lists, legal review opinions for contracts, legal opinions on major matters, compliance review forms, and investigation reports on violation reports. Documents typically contain fields such as business association identifiers, review subjects, and risk determination results, with a monthly update frequency. Data mainly exists as structured tables, annotated document text, and some legal and regulatory documents use standard clause formats.
What constraints these characteristics impose on knowledge base retrieval and recall
Data sources are scattered across multiple internal systems. The retrieval module must support cross-data source associated recall to avoid missing cross-system linked compliance risks. The monthly update frequency means the knowledge base synchronization cycle must match the business rhythm, and should not be too frequent or delayed. Document types include structured tables, annotated text, and standard regulatory clauses. Retrieval strategies must adapt to content parsing for different formats. Since errors involve major legal risks, the accuracy and completeness of retrieval results must be strictly guaranteed to avoid compliance review oversights caused by missing recall results. Business time-consuming steps focus on risk identification. The retrieval link must quickly return associated content to reduce pre-preparation time for manual investigation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Compliance data has high accuracy requirements. Filter low-similarity irrelevant content to avoid non-associated risks from mixing into retrieval results |
limit | Top 10 entries | Control the number of results returned per query, adapt to context window limitations, and cover major associated compliance risk points |
usingReRank | Enabled | Adapt to diverse document formats, optimize result sorting logic, and improve the display priority of high-risk associated content |
datasetSearchUsingExtensionQuery | Enabled | Cover synonyms and regulatory aliases via extended queries, improving recall coverage across terms |
searchMode | Hybrid retrieval | Balance exact matching for structured data and semantic matching for unstructured text, adapting to multi-format compliance documents |
collectionIds | Bind compliance-related dataset IDs | Limit retrieval scope to dedicated business collections, eliminating interference from unrelated system data |
Three Common Configuration Mistakes
- Issue: The number of returned retrieval results is fixed and cannot be adjusted, with no adjustment entry in the interface. Cause: The
limitparameter is not configured correctly, or the front-end configuration items of the deployed version have not been synchronized and updated. - Issue: A format error prompt pops up when importing a modified knowledge base CSV file, and training cannot be completed. Cause: The field requirements of the FastGPT v4.17.0 version CSV template are not strictly matched, and data fields exported from older versions differ from the new version.
- Issue: The sorting results returned by the re-ranking model cannot be used when calling the large model, but the call works normally during the knowledge base search test. Cause: The re-ranking model is not associated in the large model's plugin configuration, and the function is only configured in the independent retrieval test.
How to Verify Successful Configuration
- Enter the knowledge base retrieval test page, enter a query related to compliance risks, and check whether the number of returned results matches the value set in the
limitconfiguration. - Trigger a knowledge base incremental synchronization, confirm that the synchronization cycle matches the monthly update frequency, with no abnormal error reports.
- View the sorting of retrieval results, confirm that the display position of high-risk associated content meets expectations, and verify that the
usingReRankconfiguration is active. - Switch queries for different types of compliance documents, confirm that
searchModeadapts to the content recall logic for different formats.
The values listed above 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.