What Data for This Category Looks Like
The primary sources of energy storage investment research data include power industry research reports, energy storage power station operation logs, cell manufacturer specification documents, and grid dispatch standard specifications. Update cycles vary significantly: industry research reports are updated monthly or quarterly, power station operation logs are synchronized in real time, and cell specification documents are only updated during product iterations. Document structures include long-text operation manuals, structured parameter tables, and standardized technical specifications. Fields and units have clear professional definitions: the rated capacity of energy storage systems is measured in kWh or Wh, state of charge is expressed as a percentage, cycle life is counted by charge-discharge cycles, and some documents include proprietary abbreviated fields such as SOC and SOH.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The multi-source heterogeneous nature of energy storage data imposes clear constraints on multi-turn dialogue and prompt configuration. Differences in update cycles between real-time operation logs and periodic research reports require dialogue systems to support incremental recall and context association, ensuring historical parameters do not become invalid over time. The coexistence of long-text operation manuals and structured parameter tables requires chunking strategies to balance semantic completeness and context window capacity, avoiding splitting that breaks the association between professional fields. Fixed units and abbreviated definitions for professional fields require prompts to explicitly specify formats and units, preventing AI confusion between parameter standards of different energy storage devices. Multi-turn dialogue must retain historical context such as device model and power station ID, avoiding parameter misalignment across sessions.
How to Configure Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Energy storage-related documents are mostly long-text segments, requiring sufficient historical context to retain details such as cell model and power station parameter information |
chunkSize | 1000–1500 characters | Balances semantic completeness for both structured parameter tables and long operation manuals for energy storage, avoiding splitting that breaks field associations |
similarityTopK | Top 6–8 results | Energy storage data has numerous professional fields, requiring recall of a sufficient number of relevant document fragments to avoid missing critical parameters |
similarityThreshold | 0.75–0.85 | Filters low-match non-energy storage professional documents, ensuring recalled content focuses on power equipment investment research scenarios |
promptTemplate | Customized for energy storage investment research scenarios, explicitly specifying units and field formats | Prevents AI confusion over professional details such as cell capacity units (Wh/kWh) and SOC definitions |
enableMultiTurn | Enabled | Ensures multi-turn dialogue can retain historical context, eliminating the need to create a new session for each dialogue initiation |
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 case-by-case analysis, and it is recommended to conduct tests on applicable samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Dialogue results are only displayed in the side panel, with no visible output in the main dialogue area. Cause: The
enableInlineReplyconfiguration item is not enabled, causing replies to only return structured data without direct rendering to the main interface. - Symptom: Each new dialogue requires creating a separate session, with no ability to retain historical context. Cause: The
enableMultiTurnconfiguration item is not enabled, or themaxContextconfiguration value is set too small, causing historical dialogue content to be automatically cleared. - Symptom: AI replies use forced Markdown formatting, with no option to adjust to plain text output. Cause: The prompt template does not explicitly disable Markdown syntax, or relevant format restriction parameters are not configured.
How to Verify Successful Configuration
- Upload an energy storage cell specification document and power station operation log, initiate a multi-turn dialogue, and verify that parameters such as cell model and rated capacity asked in the first query are automatically associated when cycle life is queried in a follow-up turn.
- Adjust the prompt template to explicitly require plain text output, initiate a test query, and verify that the reply does not include Markdown formatting elements such as headings or lists.
- View the session context log to confirm that historical dialogue content is not automatically truncated, matching the
maxContextlength configuration requirement. - Conduct a multi-dialogue test with multiple independent queries, verifying that context from different sessions does not interfere with each other, ensuring accurate parameter association across different sessions.
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.