What the data for this category looks like
Securities marketing content data comes primarily from internal compliance review systems, official research report libraries, investor education material libraries, and product management systems. Update cadence varies based on business scenario:
- Research report content updates per trading day
- Full document updates trigger when new financial products launch
- Batch iteration of script libraries occurs when compliance requirements change
Most documents use structured formats. Each document includes fixed modules: compliance disclaimer, product overview, risk warning, applicable scenarios. Fields include compliance review number, product identifier, risk rating, applicable investor type, update date. Risk rating uses industry-standard grading identifiers. Product identifier is a fixed-length numeric string.
What constraints these characteristics impose on deployment and upgrade workflows
The compliance attributes and structured nature of securities marketing content create clear constraints for deployment and upgrade workflows. First, structured documents must retain field metadata. Deployments require a dedicated parsing strategy to prevent generic parsing from breaking field integrity. Second, frequently updated compliance documents and research reports require scheduled synchronization tasks during deployment. Upgrades must ensure synchronization logic does not interrupt active business operations. Third, compliance field filtering requires enabling field indexing in the vector database. This ensures retrieved results can be accurately filtered by fields such as risk rating, preventing non-compliant content from being delivered to target audiences.
Configuration recommendations
| Configuration Item | Recommended Value | Basis for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Securities marketing documents include multiple compliance disclaimers, so parsing takes longer than generic text |
maxContext | 8000–12000 characters | Must cover the full compliance disclaimer and product overview modules to avoid context truncation |
number of retrieved results | top 8 results | Balances content coverage and response speed, adapting to retrieval needs for multi-scenario marketing materials |
similarity threshold | 0.72–0.85 | Filters irrelevant compliance content to prevent retrieved results from deviating from marketing themes |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports batch upload of compliance document packages, adapting to synchronization needs for scaled marketing content |
PARSE_STRATEGY | structured parsing | Preserves the fixed field structure of documents, ensuring metadata can be correctly extracted and indexed |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require on-site analysis, and it is recommended to test on your own samples before finalizing settings.
Common mistakes to avoid
- After deploying a 70B parameter language model, API calls return
504 Gateway Timeout. No model concurrency limiting and request caching mechanisms are configured, leading to resource exhaustion and timeout in high-concurrency scenarios. - After configuring a knowledge base synchronization task, the
compliance review numberfield of a document is not correctly extracted. Thestructured parsingmode ofPARSE_STRATEGYis not enabled, and only default generic text parsing is used. - When connecting a locally deployed language model via a third-party API gateway, the debug preview interface fails to load model options. The custom model API address and access key are not configured in system settings.
How to confirm configuration is correct
- A standard securities marketing document is uploaded, and extraction of preset fields such as
compliance review numberandrisk ratingfrom parsing results is verified, confirming structured parsing configuration is active. - A marketing content generation test is initiated, and response time against business expectations is checked.
maxContextand concurrency parameters are adjusted as needed to optimize performance. - A scheduled knowledge base synchronization task is triggered, and failure entries in the synchronization log are checked to confirm synchronization configuration and permissions are normal.
- Retrieval tests are run on documents with different
risk ratingvalues, confirming retrieved results are accurately filtered by the specified field.
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.