What the data for this category looks like
Data for energy storage intelligent due diligence reports mainly comes from energy storage project feasibility study reports, grid connection acceptance archives, equipment factory ledgers, on-site operation and maintenance logs, and power regulatory reporting documents. Update frequency changes with project phases: updates every 1-2 weeks during the initiation phase, and switches to monthly operation and maintenance updates after grid connection. Document structures include equipment parameter modules, project compliance documents, grid connection indicator lists, and financial calculation tables. Fields cover energy storage system rated installed capacity, grid connection voltage level, equipment serial numbers, and project filing numbers. Units include MW, kV and other power industry-specific identifiers.
What constraints do these characteristics impose on the "document parsing and chunking" link
Dispersed data sources lead to mixed document formats, with both structured tables and unstructured paragraphs, requiring differentiation between equipment parameter tables and compliance description text during parsing. Fluctuating update rhythms lead to concentrated peaks in parsing tasks, requiring adaptation to short-term high-concurrency parsing processing capabilities. Diverse field units involving power industry-specific identifiers require retention of unit association information during chunking to avoid disconnection between parameters and their units. Single energy storage due diligence reports can reach dozens of pages, requiring precise splitting of core parameter paragraphs in long documents to prevent loss of critical information across chunks.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single energy storage due diligence report can be dozens of pages long, requiring sufficient time for parsing and chunking |
maxChunkSize | 800–1200 characters | Energy storage documents contain long parameter paragraphs and structured tables; this range can fully retain the association information between parameters and units |
chunkOverlap | 100–150 characters | Prevent core equipment parameters from being split across two chunks, ensuring contextual coherence |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single energy storage due diligence report may include attachments such as drawings and ledgers, requiring support for large file uploads |
PARSE_ENGINE | marker | Can accurately parse complex tables and specialized parameter formats in energy storage documents |
enable_table_parse | Enabled | Fully extract fields and units from equipment parameter tables to prevent information omission |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test against your own samples before finalizing.
Three common mistakes
- Split-related error logs appear when calling the marker parser, resulting in parsing task failure. No appropriate chunking parameters are configured for long table paragraphs in energy storage documents, causing the parsing engine to attempt to split table content that exceeds thresholds.
- When deploying version v4.9.0 via Docker, the text content returned after file parsing is empty. The
UPLOAD_FILE_MAX_SIZEparameter is not configured correctly, or the file storage directory of the parsing module is not mounted during deployment, preventing large files from being fully uploaded and parsed. - Equipment parameters and their units are disconnected in the post-parsing chunked content. The
enable_table_parseconfiguration is not enabled, causing parameters and units in tables to be split into different chunks.
How to confirm the configuration is correct
- Upload a sample local energy storage due diligence report, check whether the parsed text content includes complete equipment parameters and unit information.
- Check the parsing task logs to confirm that no split-related errors or timeout prompts appear.
- Verify the actual effective values of configuration items, confirm that
PARSE_ENGINEis set to marker andenable_table_parseis enabled. - Test the recall effect of chunked content, confirm that core parameter paragraphs are not overly split.
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.