What the data for this category looks like
Data sources for advertising and marketing research reports include industry monitoring platforms, advertiser placement ledgers, public media reports, and third-party research institution data. Update frequencies cover daily reports for real-time placement data, weekly reports for channel performance reviews, and quarterly and annual industry analysis reports. Document structures include fields such as placement channel details, audience profile metrics, content exposure volume, and conversion data. Units include cost per thousand impressions, cost per click, conversion rate and other professional marketing metrics. Document formats include Excel detailed reports, PDF industry analysis documents, Word project review documents and other types.
What constraints these characteristics impose on workflow orchestration
Multi-source heterogeneous data sources require workflows to be configured with multiple data source access nodes, which must adapt to interface authentication rules of different platforms. Differences in update frequencies require setting flexible scheduled trigger intervals. This avoids pulling outdated data too frequently or missing real-time placement information. Professional fields and diverse document formats require configuring field mapping and automatic parsing rules. This ensures research reports in different formats can be correctly extracted and standardized. Large-volume document content requires adjusting parsing timeout and file size limit parameters. This avoids interruptions during single-file processing. Multi-dimensional metric data requires expanding recall and context windows. This ensures question answering covers all complete analysis dimensions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_TOP_K | Top 6–10 entries | Advertising and marketing research reports contain multi-dimensional placement data. A sufficient number of related entries must be recalled to cover all analysis dimensions |
PARSE_DOCUMENT_TIMEOUT | 900–1200 seconds | Parsing 15,000-row Excel or 100,000-character Word documents takes a long time. Extending the timeout period avoids mid-process interruptions |
DB_CONNECT_TIMEOUT | 30–60 seconds | Most advertising and marketing data sources are third-party monitoring platforms. This requires adaptation to connection wait times during network fluctuations |
WORKFLOW_LOOP_NEST_LIMIT | 2–3 levels | Multi-level loop nesting easily causes workflow execution timeouts. Limiting nesting levels avoids resource exhaustion |
AUTO_SPLIT_ENABLE | Enabled | Advertising and marketing research reports have diverse formats. Automatic segmentation adapts to parsing requirements for different document structures |
CONTEXT_WINDOW_SIZE | 8000–12000 characters | Advertising and marketing has dense professional terminology. A longer context window improves question answering accuracy |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: A database connection error
connect ETIMEDOUTappears in the workflow, and the data source can be accessed normally locally. Cause: TheDB_CONNECT_TIMEOUTparameter is not configured to adapt to the cloud network environment, or the FastGPT deployment node IP is not included in the data source whitelist. - Phenomenon: Workflow execution fails and no return result is generated after the loop body is nested more than 3 levels. Cause: The
WORKFLOW_LOOP_NEST_LIMITparameter is not restricted, and multi-level loops occupy too many system resources, causing timeouts. - Phenomenon: After uploading a 100,000-character Word document or a 15,000-row Excel document, workflow parsing fails or returns incomplete content. Cause: The
PARSE_DOCUMENT_TIMEOUTandUPLOAD_FILE_MAX_SIZEparameters are not adjusted, causing the file to exceed the limit or parsing to time out.
How to confirm the configuration is complete
- Execute the database connection test node, check the returned status code, and confirm that there is no
connect ETIMEDOUTerror. - Upload a single 15,000-row Excel document, trigger the workflow and check the parsing progress, confirm that no timeout interruption prompt appears.
- Configure multiple AI question answering nodes, check that the final output only contains the last question answering result, confirm that the result truncation logic takes effect.
- Trigger a 2-level nested loop workflow, check that the execution log does not show a nesting limit exceeded prompt, confirm that the
WORKFLOW_LOOP_NEST_LIMITparameter takes effect.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.