What the data for this category looks like
The data for energy storage due diligence reports mainly comes from technical specifications of power equipment manufacturers, grid station operation logs, industry association standard documents, and project completion acceptance filing materials. Operation log data is updated daily, industry standards are revised quarterly, and manufacturer new product documents are updated alongside product iterations. Document formats include two types: structured parameter ledgers and long-form technical white papers. Structured data is presented in fielded form, while unstructured documents contain detailed test instructions. Core fields include rated energy storage capacity (unit: kWh), cycle charge-discharge count (unit: times), grid-connected voltage (unit: V), and conversion efficiency (unit: %). Some documents also include test batch numbers and environmental parameters.
What constraints do these characteristics impose on the citation sources and traceability link
The mixed format of structured and unstructured documents means that traceability requires matching both fielded parameters and unstructured paragraphs, rather than relying solely on keyword retrieval. Differences in update rhythms across data sources require labeling data collection time and version during traceability to ensure the timeliness of due diligence reports. The exclusive fields and units for energy storage parameters require associating traceability with original test reports of corresponding batches to avoid citation deviations caused by inconsistent units. The need for segmented parsing of long documents requires precisely locating the specific page number and paragraph where parameters are located during traceability to meet compliance verification requirements.
How to configure the settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
recall field filtering | only retain rated capacity, cycle life, and grid-connected indicator fields | Focus on core query dimensions of energy storage due diligence reports, filter irrelevant recalled data |
context recall count | top 6 entries | Cover multi-dimensional verification needs for energy storage technical parameters, avoid one-sidedness from single data entries |
document parsing segment length | 800–1200 characters | Adapt to the paragraph structure of energy storage technical documents, retain complete parameter groups and test instructions |
citation traceability switch | enabled | Force binding of original document page numbers and field positions to meet compliance traceability requirements for due diligence reports |
similarity threshold | 0.78 | Balance recall precision and coverage, adapt to professional expression differences in energy storage technical parameters |
unit auto-alignment | enabled | Automatically unify unit expressions for energy storage parameters, avoid citation errors caused by inconsistent units |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- The called API returns results without the
cite_idfield. Thecitation traceability switchconfiguration is not enabled, so the system does not generate citation identifiers. - Variable reference binding fails in the knowledge base search card. The
recall field filteringconfiguration is not set, so recalled data does not include energy storage-specific fields required for due diligence reports, making variable mapping impossible. - The code execution plugin fails to load the energy storage industry-specific parameter library. The path of the energy storage industry parameter library is not specified in
third-party library reference configuration, resulting in missing dependencies.
How to confirm that the configuration is complete
- Initiate a query related to energy storage due diligence, check whether the returned results include the
cite_idfield and original document page number information. - In the knowledge base management interface, check whether the
recall field filteringconfiguration has screened the exclusive fields required for energy storage due diligence. - Upload an energy storage project completion acceptance report, verify whether the parsed data retains core parameters such as rated capacity and cycle life.
- Trigger the code execution plugin to call the energy storage industry parameter library, confirm that the third-party library dependencies load normally.
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.