What the Data for This Category Looks Like
Photovoltaic research report data comes from public research reports from securities firms, third-party industry databases, public announcements of listed companies, and public materials from upstream and downstream industrial chains. Updates occur in real time as individual research reports are released. Special industry reports are updated in batches on a quarterly or semi-annual basis. Most documents are in PDF format, with structures including core conclusions, core industrial chain indicators, market size calculations, risk warnings, and other modules. Fields include report release date, releasing institution, and core indicator values. Common industry units include GW, yuan/watt, ton, and similar units.
Constraints for Knowledge Base Retrieval and Recall
Photovoltaic research reports originate from multiple data sources, which can cause inconsistent indicator calibers. This creates clear requirements for the alignment step of retrieval and recall. PDF documents contain large numbers of structured charts and tables. Plain text parsing easily loses structured information, which reduces the accuracy of recalled content. Special industry reports updated quarterly have strong timeliness requirements. Recently released content must be prioritized for recall to avoid returning outdated data. Different releasing institutions use different names for the same industrial indicators. Synonym mapping rules must be configured to cover search requests with similar expressions. The structural features of long documents require segment matching with the natural chapters of research reports, to prevent semantic breaks caused by cross-chapter splicing.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_PDF_TABLE_MODE | Structured extraction priority | Photovoltaic research reports contain a large number of industrial chain data tables. Structured extraction preserves the correspondence between fields and units, improving recall accuracy |
chunk_size | 800–1200 characters | Natural chapters of photovoltaic research reports are mostly around 1000 characters. Segment matching with chapters preserves semantic integrity and avoids truncating core data across chapters |
recall_top_k | Top 8–12 results | Professional content in photovoltaic research reports has high density. Too many recalled results introduce irrelevant information, while too few fail to cover core viewpoints |
similarity_threshold | 0.72–0.85 | Semantic similarity of photovoltaic industry terms is relatively high. A threshold that is too low introduces irrelevant results, while a threshold that is too high may miss relevant research reports |
rerank_top_n | Top 3–5 results | Users need to quickly obtain core conclusions. Re-ranking returns the most relevant research report fragments, improving reading efficiency |
SYNC_UPDATE_INTERVAL | Every 24 hours | New securities firm research reports are released daily. Daily synchronization ensures the timeliness of the knowledge base while avoiding resource occupation from frequent synchronization |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Zero results are returned when searching for photovoltaic-related keywords. Cause: Synonym mapping is not configured. Industry common alternative expressions such as "photovoltaic module" and "PV module" are not covered, leading to search matching failure.
- Symptom: Some research reports are not indexed after knowledge base synchronization. Cause:
PARSE_PDF_TABLE_MODEis not set to structured extraction mode. Research reports containing large numbers of tables fail to be parsed, and cannot enter the recall link. - Symptom: Returned research report fragments include outdated silicon material price data. Cause: Recall priority sorted by release date is not configured. Old and new reports are mixed in returned results, failing to meet timeliness requirements.
How to Verify Successful Configuration
- Upload a latest photovoltaic industry research report, run a search containing core industry keywords, and verify that returned results include relevant fragments of this research report.
- Check the knowledge base parsing log to confirm that the PDF table parsing status is successful, with no prompts for structured data loss.
- Adjust the search keyword to an industry alternative expression, and verify that corresponding research report content can be recalled.
- Check the release dates of recalled results, confirm that recently released research reports appear at the top of the results.
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.