What the data for this category looks like
Energy storage investment research data sources include technical white papers from power equipment manufacturers, grid dispatch operation logs, energy storage power station feasibility study reports, industry policy documents, and third-party professional research reports. Update frequency varies by data source type. Policy documents are updated quarterly or for special events. Operation logs are synced daily or in real time. Technical white papers are updated irregularly alongside product iterations. Document structures include standardized parameter tables, charge-discharge curve charts, efficiency calculation formulas, and long technical paragraphs. Core fields include rated capacity (unit: kWh/MWh), cycle life (unit: cycles), SOC, SOH, and other professional terms. Some documents include embedded equipment photos and parameter annotation screenshots.
What constraints do these characteristics impose on the "document parsing and chunking" link
The multi-source heterogeneous nature of energy storage investment research documents requires the parsing link to support PDF, Word, Excel, CSV, and image formats. This avoids missing embedded professional parameter charts. Long documents are common; a single feasibility study report can be dozens of pages long. Chunking must balance semantic completeness and retrieval accuracy. It must avoid splitting professional formulas and parameter tables into meaningless short paragraphs. The strong binding between professional terms and units requires the parsing link to retain the association between fields and units. This prevents situations where values and units are separated after chunking. Additionally, parameter screenshots embedded in some documents require OCR to extract text. Otherwise, key investment research information will be lost.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_IMAGE_ENABLE | Enabled | Energy storage documents often include equipment parameter charts and operation data screenshots. OCR must extract text from images to support retrieval |
CHUNK_SIZE | 800–1200 characters | Energy storage research reports include long technical paragraphs and continuous formulas. This range preserves the integrity of professional semantics and avoids chunk breaks |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large energy storage feasibility study PDFs takes a long time. This value covers the parsing cycle of most long documents |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single energy storage power station archive report can reach 1.5 GB. This value meets large file upload requirements |
RECALL_SIMILARITY_THRESHOLD | 0.75–0.85 | Energy storage professional terms have high similarity differentiation. This range filters low-relevance recall results and improves retrieval accuracy |
RERANK_TOP_N | Top 3–5 results | Investment research scenarios require precise matching of professional parameters. Too many recall results will disrupt context coherence |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After uploading a Word document with embedded parameter images, knowledge base question answering tests cannot extract energy storage parameter text from the images. Only image placeholders are displayed. Cause: The
PARSE_IMAGE_ENABLEconfiguration item is not enabled, or OCR parsing trigger rules are not configured. - Issue: When parsing a 1 GB+ energy storage feasibility study PDF, the backend returns a
504 Gateway Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSsetting is less than the actual parsing time of the document. The default value is insufficient to cover long document parsing. - Issue: After uploading an energy storage-specific Excel spreadsheet, chunking results split SOC values and their kWh unit into separate paragraphs. Cause: The
PARSE_TABLE_KEEP_UNITconfiguration item is not enabled, and the association between table fields and units is not retained.
How to confirm the configuration is correct
- Upload a single Word document with embedded parameter charts. Check if the parsed chunked text includes parameter content such as rated capacity and cycle times from the charts.
- Upload an energy storage feasibility study PDF of around 1 GB. Wait for parsing to complete, then check if the task status code is
200 OKwith no timeout-related errors. - Submit a query containing energy storage professional parameters. Verify that recall results include relevant text from the document, with no irrelevant redundant content.
- Access the knowledge base configuration panel. Confirm that the values of core parameters such as
PARSE_IMAGE_ENABLEandCHUNK_SIZEmatch the preset configuration.
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.