Deployment and Upgrade for Securities Investment Research Knowledge Bases

Securities investment research data mainly comes from exchange public disclosure documents, third-party financial data terminals, broker research

Data Characteristics of This Category

Securities investment research data mainly comes from exchange public disclosure documents, third-party financial data terminals, broker research reports, and real-time market data APIs. Update cycles fall into three categories: real-time market data is updated per second, periodic announcements (annual reports, quarterly reports) are updated on disclosure dates, and broker research reports are updated per their release frequency. Document structures include structured market fields (such as opening price, trading volume, units: yuan, shares), semi-structured research report text with rating and profit forecast fields, unstructured PDF announcements and research reports. A single research report or annual report can reach hundreds of MB in size.

Constraints Imposed on Deployment and Upgrade

The multi-source heterogeneous nature of securities investment research data requires the deployment phase to adapt to both structured parsing and unstructured vector storage logic. The low-latency requirement of real-time market data means synchronization task interval configurations must be much lower than other financial segments. The large document parsing requirement requires adjusting upload and parsing timeout and size limits. During upgrades, real-time data source synchronization must not be interrupted to avoid loss of timeliness of the investment research knowledge base. Additionally, securities data has highly specialized fields, so the model must be configured to adapt to vector recall logic for financial terminology to prevent recall results from deviating from the investment research scenario.

Configuration Settings

Configuration ItemRecommended ValueRationale
UPLOAD_FILE_MAX_SIZE1000 MBMeets the upload requirements for large documents such as securities research reports and listed company annual reports, preventing parsing failures caused by default limits
PARSE_FILE_TIMEOUT_SECONDS600 secondsParsing processes for large structured announcements and research reports take a long time, and default timeout values are insufficient to complete full parsing
maxContext8000–12000 charactersMatches the length of core paragraphs in securities research reports, avoiding truncation of key investment research-critical information such as ratings and profit forecasts
Recall CountTop 8–12 resultsBalances the comprehensiveness of information required for investment research and the context window pressure, avoiding excessive redundant results that interfere with model output
Similarity Threshold0.72–0.80Data in the securities field has high similarity; this range filters low-relevance redundant content while retaining valid investment research information
REALTIME_SYNC_INTERVAL30 secondsMeets the low-latency synchronization requirement for real-time market data, ensuring the timeliness of market information in the knowledge base

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 specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • Symptom: After uploading a research report or annual report, the interface shows parsing failed, and the log returns the PARSE_FAILED error code. Cause: The UPLOAD_FILE_MAX_SIZE and PARSE_FILE_TIMEOUT_SECONDS parameters were not adjusted, so large documents exceed default limits or parsing times out.
  • Symptom: The workflow runs with a gpt-4o-mini call error log, but the model call was not actively configured. Cause: The knowledge base recall count is set too high, causing context window overflow and triggering an unconfigured model call chain exception.
  • Symptom: Models deployed via xinference cannot generate valid responses. Cause: The correct access path for the MODEL_ENDPOINT parameter was not configured, or external access permissions for container ports were not opened.

How to Verify Correct Configuration

  • Upload a single listed company annual report with a volume exceeding 500 MB, verify that the parsing status is successful, with no timeout or format error prompts.
  • Configure a real-time market data source synchronization task, check the synchronization log to confirm that the execution interval matches the REALTIME_SYNC_INTERVAL setting.
  • Initiate an investment research query containing keywords such as "profit forecast" and "rating", check that the number of recall results and similarity threshold match the preset range.
  • After connecting to models deployed via xinference, initiate a test call to verify that no model connection or permission error messages are returned.

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.