What This Category of Data Looks Like
Energy storage investment research data primarily comes from project feasibility study reports issued by power engineering design institutes, grid connection test reports from power grid companies, official specification sheets from battery cell and power converter manufacturers, and real-time dispatch and operation data from regional power grids. Update frequency fluctuates with project progress. Project initiation documents are only updated when project changes occur. Grid operation data is pushed in batches on a monthly or quarterly basis. Manufacturer specification sheets are updated irregularly alongside product iterations. Most documents combine structured tables and long-form text, including dedicated fields such as project ID, rated battery cell capacity (unit: kWh), rated grid connection power (unit: MW), grid response delay (unit: ms), and others.
Constraints for Conversation Logging and Auditing
The multi-source, decentralized nature and varied update schedules of energy storage investment research data require that conversation logs be linked to timestamps from each data source. This ensures full traceability of data call chains during audits. Differences in units and formats of dedicated fields require that field validation rules be configured for the audit workflow. This prevents analysis errors caused by mixed units. The high proportion of long-form text documents requires log storage to support large-field indexing. This prevents timeouts during retrieval. Frequently updated real-time dispatch data requires that logs retain full call context per session. This makes it easier to trace trigger conditions for abnormal interactions.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 30–90 days | Most energy storage investment research projects run for 3–6 months, so audits must cover the full project lifecycle |
maxContext | 8000–12000 characters | Energy storage documents often include long tables and technical parameters, so sufficient context must be retained to avoid truncation |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Parsing large energy storage feasibility study reports takes significant time, to prevent timeout interruptions |
chunk_size | 800–1000 characters | Structured paragraphs in energy storage documents are moderately sized, making it easier to associate logs with parsed segmented data |
recall_top_k | Top 3–5 results | Energy storage investment research data has many dedicated fields; too many recall results increase computational load for audit validation |
audit_field_check | Enabled | Energy storage data has dedicated units and fields, so parameter format validation during calls is required |
The parameter values provided on this page are common starting points for configuration. Actual values may vary based on material format, data volume, and business rules. Each scenario should be evaluated individually, and testing against your own samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Issue: Conversation logs include call records for designated reply plugins, making it impossible to distinguish native Q&A from plugin interactions during audits. Cause: No corresponding parameter was configured to filter plugin logs, so all plugin call content is retained by default.
- Issue: After upgrading to open source version 4.9.0, an error occurs when creating an energy storage knowledge base using a URL. The backend returns
cannot fetch internal url. Cause: No internal access whitelist was configured, or the energy storage data source pointed to by the URL does not have cross-domain permissions enabled. - Issue: Calling the conversation log API in a loop returns null, making it impossible to retrieve session audit data. Cause: The
maxContextvalue is too small, resulting in truncated session context and incomplete log storage.
How to Verify Proper Configuration
- Access the system log management interface, confirm that the session log retention period matches the configured value, and verify that the full conversation chain for the target energy storage project can be retrieved.
- Submit a Q&A request that includes energy storage-specific fields, check that the audit validation module triggers the corresponding format check, and confirm there are no abnormal interception prompts.
- Import a single large energy storage feasibility study report, confirm that the parsing process does not trigger a timeout error, and verify that complete segmented parsing records exist in the logs.
- Call the Q&A API with a designated reply plugin, check that the audit logs only retain native interaction content, and confirm there are no redundant plugin call records.
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.