What the data for this category looks like
Research report data for investment platforms primarily originates from public reports released by securities firm research institutes, public fund investment research teams, and industry associations. Update cycles align with workdays: teams update morning meeting summaries daily, while in-depth industry research reports launch irregularly per project progress. Document structures have relatively high standardization, containing fields including title, publishing institution, release time, industry classification, core financial indicators (such as PE, target price, with units of multiples, yuan), investment rating, and more. Some research reports include Excel-format supplementary industry data tables.
What constraints these characteristics impose on workflow orchestration
The multi-source, heterogeneous nature of research report sources means workflows must support batch access configuration across multiple channels, and distinguish between different authentication rules for public APIs and local file uploads. Differences in update cycles across research report types require workflow document synchronization steps to support incremental pulling by release time, avoiding resource waste from full repeated pulls. Research reports include structured financial fields and Excel supplementary tables, so parsing nodes must support both text extraction and table structured parsing, with pre-set mapping rules for corresponding fields. The wide length gap between long in-depth research reports and short morning meeting summaries means workflow segment processing steps must adaptively adjust splitting granularity.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Research reports contain long text and Excel supplementary tables, requiring sufficient time to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single in-depth research report attachments may include multi-page industry data tables, requiring adaptation to large file upload requirements |
Segment Length | 800–1200 characters | Core content of research reports is mostly paragraph-based, this range balances contextual coherence and retrieval accuracy |
Number of Retrieved Results | Top 8 | Investment decisions require cross-verification across multiple research reports; too many results increase model processing load |
Similarity Threshold | 0.75–0.85 | Low-relevance generic industry research reports must be filtered out, retaining content highly matched to target assets |
DOC_SYNC_INTERVAL | Every hour | Morning meeting summaries require high-frequency synchronization, while in-depth research reports can be triggered on demand. This interval balances real-time performance and resource usage |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. Testing on local samples is recommended before finalizing settings.
Three common mistakes
- Symptom: After a research report attachment is uploaded, the parsing node returns a "file parsing failed" log, or the uploaded file is not indexed to the knowledge base. Cause: Excel attachment parsing configuration is not enabled, or the
UPLOAD_FILE_MAX_SIZEvalue is lower than the threshold adapted to research report attachments, leading to parsing failure of large files or supplementary tables. - Symptom: When the workflow runs, the specified knowledge base fails to load the corresponding research report data. Cause: Dynamic variable binding rules are not configured in the knowledge base selection node, or the incoming knowledge base ID does not match the system preset research report library classification identifier.
- Symptom: A SQL query node runs normally when manually entering a statement, but returns a parameter error after passing in variables. Cause: Variables are not escaped, or the incoming SQL statement contains non-standard field names unique to investment platforms, and no field mapping is configured in the node.
How to confirm correct configuration
- Upload a test research report containing a PDF body and Excel supplementary tables. Check whether the parsing node returns structured text and table data to confirm parsing configuration is effective.
- Manually pass in knowledge base IDs of different classifications. Verify whether the knowledge base selection node correctly loads research report data for the corresponding industry to confirm dynamic variable configuration is correct.
- Run a simulated investment target query. Review the number and relevance of retrieved results, then adjust the
Number of Retrieved ResultsandSimilarity Thresholdto a range that meets business requirements. - Upload a newly released test research report. Confirm the workflow completes data updates within the preset synchronization interval, with no repeated pulling or missing data.
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.