What the Data for This Category Looks Like
This category's data primarily comes from historical traffic statistics, service topology diagrams, online monitoring metrics, and business growth planning documents, all core supporting basis for architecture decisions. Daily produced documents include structured technical plans, visual architecture diagrams, capacity assessment reports, and technical review minutes. Document fields typically include constraint conditions, solution selection basis, closed-loop records of review opinions, etc. The data update frequency is monthly or upon major requirement changes. The size of individual documents varies with content complexity, with no unified fixed unit; field specifications need to be adapted based on document type.
Constraints Imposed on Citation Sources and Traceability by These Characteristics
The data sources for this category are scattered, and most content is unstructured or semi-structured. Citation traceability needs to cover cross-source data association, and must support extracting associated information from data sources in different formats such as traffic data and topology diagrams. The data update frequency is not fixed, so citation traceability needs to adapt to dynamically changing data sources to avoid traceability failure caused by expired data. The size of documents varies widely, so flexible context loading and citation range control are needed to prevent traceability accuracy issues caused by excessive context. There are no unified specifications for document fields, so custom field mapping must be supported to ensure that citation information from different types of documents can be correctly identified and associated.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
quoteMaxToken | 8000–12000 token | Adapts to the average content length of architecture plan documents, avoiding truncation of key citation fragments |
responseData | Top 5 matching results | Covers core review and topology data for multi-source association, balancing information density and retrieval efficiency |
detail | Enable full details | Retains the field structure and original content of the original document, ensuring that traceability information can be directly verified |
| Data source filtering rules | Classify by document tags, only include documents with individual size not exceeding 500 MB | Only include target category documents such as technical plans and capacity assessment reports, excluding irrelevant redundant content |
| Variable reference matching method | Associate by business domain, response delay no more than 3 seconds | Dynamically match data sources corresponding to business growth plans, adapting to dynamically specified knowledge base requirements |
Three Common Misconfigurations
- Symptom: The citation variable dropdown menu in the knowledge base search node is empty, and dynamically specified knowledge bases cannot be selected. Cause: No label association rules for data sources are configured, causing the system to fail to recognize variables as valid matching items.
- Symptom: Generated citation IDs do not match the original documents, and forged citation identifiers appear. Cause: The
detailconfiguration item is not enabled, only partial content is extracted leading to missing association keys, making precise traceability impossible. - Symptom: Logs cannot distinguish citation sources of different architecture plans. Cause: No data source filtering rules are configured, causing citation logs from multiple documents to be merged, making it impossible to split by business domain or document type.
How to Confirm Proper Configuration
- Enter the knowledge base search configuration interface of the corresponding workflow, confirm that optional variables for the target business domain exist in the citation variable dropdown menu.
- Generate citation traceability results for a single technical plan, verify that the returned citation identifiers match the original document's metadata.
- View the system-generated review logs, confirm that citation records for different types of architecture documents can be independently distinguished.
- Adjust the value of
quoteMaxToken, verify that no key content truncation occurs during context loading.
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 2026-10-19.