Data Characteristics of This Category
Securities research data sources include exchange public disclosure documents, brokerage research reports, real-time market data, macroeconomic indicators, and more. Disclosure documents update on fixed schedules: annual and quarterly reports are released at the end of the year or quarter, while temporary announcements are disclosed in real time when events occur. Brokerage research reports are updated on demand by the issuing institution, with no fixed schedule. Most documents use standardized formats. Disclosure documents contain fields such as title, disclosing entity, document number, date, and main body. Research reports include title, issuing institution, analyst, rating, target price, core logic, and other content. Fields often include standardized units: stock code (6-digit format), stock price (yuan/share), revenue (yuan), and similar.
Constraints Imposed on Model Access and Configuration
Securities research data comes from multiple sources with large format differences, so parsing support for PDF, Word, Excel and other document formats is required. Long texts are also common: a single annual report can reach tens of thousands of characters, which places requirements on the model's context carrying capacity. Real-time market data and temporary announcements have high update frequencies, requiring adaptation to high-frequency model calls and vector database updates. Although field standardization has regulations, slight differences exist in code formats and unit expressions across different sources. Unified mapping must be completed during model access. Additionally, research texts contain a large number of professional terms and industry jargon, which places high requirements on the model's semantic understanding accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 characters | Single annual securities report and research report can reach tens of thousands of characters, so long context carrying capacity must be supported |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single annual report PDF can reach hundreds of megabytes, so upload limits need to be relaxed |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing takes a long time, to avoid mid-parsing timeout interruptions |
Chunk size | 800–1200 characters | Balance the integrity of professional terms and vector recall accuracy, adapt to the long sentence characteristics of securities texts |
Recall count | Top 8–12 entries | Cover the effective information density of multi-source recall from research reports and announcements, avoid redundancy |
Similarity threshold | 0.75–0.85 | Filter low-relevance market noise, retain content strongly related to research topics |
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. It is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Interface displays invalid token, returns 401 status code. Cause: API base address and token for OneAPI are not configured correctly, or the token is not bound to the model permissions required for the securities research scenario.
- Locally deployed service cannot call remote models, interface returns connection timeout. Cause: Network mapping for the Docker container is not configured correctly, or the API address does not point to the service port deployed in Docker.
- Model returned results do not include the latest research report content. Cause: No scheduled update task for the vector database is configured, or the model call version is not adapted to the latest securities data interface.
How to Verify Successful Configuration
- Upload a single securities annual report PDF, check whether the parsing task completes within the set timeout period with no error prompts.
- Enter the model configuration page, confirm that the added model list includes the models required for the target securities research scenario.
- Enter a targeted research query, check whether the context recall content returned by the model includes matching research report and announcement fragments.
- Call the model test interface, check that the returned response status code is 200, and there are no token-related error messages.
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.