What the data for this category looks like
Core data for this category comes from enterprise contract management systems, compliance risk databases, law libraries, case management systems, and reporting platforms. The update frequency is monthly. Daily processed documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation reports. Most documents contain fields such as subject information, risk descriptions, review opinions, and handling results. Some are structured forms, while others are unstructured text.
What constraints these characteristics impose on the workflow orchestration link
Dispersed data sources with monthly updates require workflows to support integration with multiple system interfaces. Workflows must adapt to format differences across data sources. Mixed structured and unstructured document types require configuring parsing nodes in workflows that adapt to different document formats. Severe consequences of errors require workflows to include pre-check and exception interception steps. This prevents erroneous process triggers. Time-consuming steps are concentrated in risk identification and review. Workflows must configure progress retention mechanisms for high-time-consuming nodes. They must also support branch flow based on business nodes. This adapts to review paths for different types of declaration materials.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the semantic integrity of unstructured documents such as compliance review forms and legal opinions, avoiding semantic breaks within chunks |
| Similarity Threshold | 0.75–0.85 | Matches precise entries in compliance risk lists and law libraries, reducing irrelevant recall results |
| Single Search Limit | Top 10 entries | Controls the volume of search returns, adapts to the precise matching needs of legal review scenarios, and avoids information overload |
variables | Preset based on business scenarios | Used to store business variables such as declaration subject and review node status, supporting workflow branch flow |
nodeId | Bound to review links | Used to mark unique identifiers for different review nodes, facilitating exception troubleshooting and process tracing |
| Maximum Context | Top 3 conversation rounds | Adapts to the legal review scenario where only recent declaration materials and historical review opinions are required, reducing redundant information interference |
Three Common Misconfigurations
- Phenomenon: The workflow executes to a certain node without an error prompt and does not proceed to subsequent steps. Cause: The default value for the
variablesvariable is not configured, causing the branch judgment condition to fail to trigger, and the workflow gets stuck at the current node. - Phenomenon: Knowledge base search does not filter results by preset tags, returning irrelevant documents. Cause: The
variablesparameter corresponding to the business tag is not bound in the search node, and the tag is not used as a search filter condition. - Phenomenon: The workflow is configured with a chat record limit of 1 entry, but more than 1 entry of historical conversation content is still retrieved. Cause: The time range of context search is not limited, only the number of returned entries is restricted, causing recall of older matching historical records.
How to Verify Proper Configuration
- Connect to data sources such as enterprise contract management systems, execute a test workflow, check if corresponding documents can be pulled normally, and verify the correctness of data source configuration.
- Trigger review processes for different types of declaration materials, confirm that the workflow can enter corresponding review nodes according to preset branches, and verify the effectiveness of the
variablesandnodeIdconfigurations. - Simulate a knowledge base search scenario, enter a query containing a specific tag, check if the returned results meet the preset tag filtering requirements, and verify the correctness of the search configuration.
- Adjust the chat record context parameter, verify that the search results only include historical content within the specified time range, and verify the rationality of the context configuration.
The values provided 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.