What the Data for This Category Looks Like
Data sources for professional services investment research knowledge bases include industry research reports, listed company announcements, regulatory policy documents, and on-site investigation minutes. Update rhythms vary: regulatory announcements are updated in real time as released, industry research reports are updated regularly on workdays, and investigation minutes are stored immediately after completion. Each document contains both structured and unstructured content. Structured fields include report number, issuing institution, release time, and industry classification code. Unstructured content consists of main body paragraphs. Documents are stored per individual item. Time fields use the ISO 8601 standard format, and each document is bound with a unique identifier for associating call records.
What Constraints These Characteristics Impose on Conversation Logs and Auditing
Dispersed data sources and inconsistent update rhythms require conversation logs to accurately associate the unique identifier and version information of the corresponding document. This prevents confusion between different cycles of investment research content during audits. The mixed structured and unstructured document structure requires logs to record both structured filtering conditions triggered by queries and called unstructured main body fragments. This covers all dimensions of auditing. The unique identifier binding on documents allows the auditing link to quickly locate full call records for a single document using the identifier. The standardized time field format requires log storage and querying to adapt to ISO format. This enables quick filtering of audit data by time range. Investment research content involves professional information. Logs must retain complete conversation links while supporting sensitive information desensitization to meet compliance requirements.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
log_retention_days | 180–365 days | Matches compliance audit cycle requirements for professional services investment research, covering retention durations required by regulations |
audit_log_fields | ["user_id", "session_id", "document_ids", "query_time", "response_content"] | Covers core audit dimensions of investment research conversations, matching structured field characteristics of knowledge base documents |
max_context_tokens | 8000–16000 tokens | Adapts to the long length of investment research documents, retaining sufficient context to fully record document fragments associated with conversations |
mongodb_shard_key | ["query_time"] | Sharding by time facilitates periodic querying of audit logs, matching the time-based update rhythm of investment research data |
log_sensitive_mask | Enabled | Prevents unauthorized disclosure of non-public information involved in investment research conversations, meeting professional services compliance requirements |
parse_log_enable | Enabled | Records logs during the document parsing process, used to troubleshoot abnormal calls of investment research documents and incorrect association relationships |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require individual analysis, and testing against local samples is recommended before finalizing settings.
Three Common Misconfigurations
- Symptom: No conversation log data exists in the MongoDB collection. Cause: The
log_upload_enableconfiguration is not enabled, or the configuredmongodb_collection_prefixdoes not match the actual storage collection prefix. - Symptom: Conversation logs do not associate the unique identifier of investment research documents. Cause: The
document_idsfield is not configured inaudit_log_fields, or the unique identifier is not correctly written during knowledge base document parsing. - Symptom: The number of log query results does not match the actual count. Cause: The MongoDB shard key is not set to
query_time, resulting in full table scans during queries and missing log data for some time ranges.
How to Confirm Successful Configuration
- Access the MongoDB console, query the collection matching the configured
mongodb_collection_prefix, and confirm whether conversation log data from the past 7 days is present. - Initiate an investment research-related query, access the session details page, and confirm that logs include configured audit fields such as
user_idanddocument_ids. - Upload a test investment research report, initiate a query associated with this document, and confirm that logs record relevant information about document parsing.
- Trigger a test query containing sensitive information, and confirm that sensitive content in the logs has been desensitized.
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.