What the data for this category looks like
The data for this category originates from the legal compliance departments of central enterprises and related business systems. It includes documents such as compliance risk lists, contract legal review opinions, legal opinions on major matters, compliance review forms, and violation report investigation reports. Data sources cover enterprise contract management systems, compliance risk databases, legal and regulatory databases, case management systems, and reporting platforms. The update frequency is once per month. Most documents contain core fields including compliance clauses, risk judgments, and handling suggestions. The size of some individual documents can reach tens of megabytes.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
The monthly data update requirement mandates regular synchronization of the knowledge base to prevent Q&A based on expired compliance documents. Documents contain structured content such as compliance clauses and risk judgments, so prompt configurations must explicitly require matching specific document fields to avoid generic responses. Multiple large-volume documents can cause parsing delays, so the platform must restrict the knowledge base recall scope for each dialogue round. Legal Q&A is tied to major risks, so multi-turn dialogue systems must retain context to trace historical compliance review records. The platform must also require generated content to cite source documents to reduce error risks.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Fits the clause paragraph structure of compliance documents, avoiding splitting that destroys the integrity of compliance logic |
| Single Search Limit | Top 5 recall results | Matches the requirement of precise matching of core compliance basis for legal Q&A, reducing interference from irrelevant information |
| Question Optimization | Enabled, calibrated based on actual testing | Suits scenarios with many professional terms in compliance issues; optimized questions improve recall accuracy |
| Maximum Context | Within 10 turns of dialogue | Avoids model processing timeouts caused by overly long context, while retaining necessary historical information for multi-turn reviews |
variables | Pass enterprise compliance department exclusive identifiers | Limits recall scope to only this enterprise’s compliance knowledge base, avoiding cross-department data confusion |
chatId | Bind dialogue session identifiers | Retains multi-turn dialogue context, supporting tracing of historical compliance review records |
Three common misconfigurations
- Failure to associate the specified compliance knowledge base when calling the API: The symptom is that the API return result does not match the deploying enterprise’s compliance documents. The cause is failure to correctly pass the
variablesparameter to limit the recall scope, or failure to bind the configuration identifier of the corresponding knowledge base. - Excessive parsing time for large-volume Word documents: The symptom is timeout during the document parsing phase, with request duration exceeding 600 seconds. The cause is failure to adjust the chunking strategy for large compliance documents, or failure to enable parallel parsing configuration.
- Q&A deviating from compliance basis after prompt optimization: The symptom is generated content without source document citations, or references to expired compliance clauses. The cause is failure to explicitly require prompts to match the latest updated compliance data, or failure to restrict generated content to only cite knowledge base recall results.
How to verify successful configuration
- Initiate a single-turn compliance question test, and check whether the returned result matches specific clauses in the deploying enterprise’s compliance documents.
- Initiate two consecutive dialogues, and check whether the system retains historical interaction content and correctly associates the compliance review records mentioned in the previous turn.
- Upload a test compliance document, and verify that after the knowledge base is synchronized, the new document can be correctly recalled and used for Q&A.
- View the API call log to confirm that the
chatIdandvariablesparameters have been correctly passed in the session request.
The values provided here are common starting points and should be evaluated against the relevant samples of the deploying organization.
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.