What this type of data looks like
Photovoltaic industry research reports mainly come from securities firm research institutes, industry associations, listed company regular announcements, and policy documents. Update cycles follow industry events, quarterly earnings reports, and policy releases, with no fixed schedule. Monthly tracking reports have a higher update frequency. Documents typically include abstracts, industry supply and demand data, analysis of each industrial chain link, policy interpretations, and corporate revenue data. Some documents include structured tables and data charts. Fields include installed capacity, module price, gross margin, and corporate revenue. Corresponding units are GW, yuan/W, percentage, and ten thousand yuan respectively. Most documents use PDF format, with some attached Excel tables of raw data.
What constraints do these characteristics impose on document parsing and chunking?
The professional data structure and format of photovoltaic research reports create multiple constraints for the document parsing and chunking process. First, documents contain large volumes of structured supply and demand and price tables. Original row and column structures must be preserved to avoid broken data logic caused by plain text-only extraction. Second, professional units are tightly linked to their associated values. Units and corresponding data cannot be split during chunking. Third, documents include both long industry analysis sections and short data entries. Balance must be maintained between contextual coherence and retrieval granularity. Fourth, batch-uploaded research reports have duplicate fields and cross-references. Duplicate indexing of the same data must be avoided. Additionally, some research reports include embedded charts. Text descriptions attached to these charts must be extracted to supplement retrieval content.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Photovoltaic research reports contain a large number of structured supply and demand and price tables. Table structure must be preserved for accurate retrieval |
CHUNK_SIZE | 800–1200 characters | Photovoltaic research reports include both long sections of industry analysis and short data entries. This range balances contextual coherence and retrieval precision |
CHUNK_OVERLAP | 10–15 % | Photovoltaic research reports have dense data. Overlapped chunking prevents critical data from being split across two separate chunks |
PARSE_EXTRACT_IMAGE_CAPTION | Enabled | Charts related to production capacity and policy in photovoltaic research reports include key text descriptions. These must be extracted to supplement retrieval content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long documents with multiple tables and charts require sufficient time to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Individual photovoltaic research report PDFs typically do not exceed 100 MB. This setting reserves reasonable space for batch uploads |
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. Testing should be completed on local samples before finalizing settings.
Three Common Misconfigurations
- Issue: Searching for module price data in photovoltaic research reports fails to return exact numerical matches. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled. Extracting only plain text prevents structured data from being correctly indexed. - Issue: After uploading an Excel file with multiple columns of photovoltaic installed capacity data, automatic chunking concatenates content across rows and columns. Cause:
CHUNK_SIZEand chunking rules are not adjusted. The default chunking logic does not accommodate row-level splitting requirements for multi-column structured tables. - Issue: Batch uploading multiple photovoltaic research reports includes previously uploaded historical documents in the parsing task. Cause: The setting to only parse currently uploaded files is not enabled. The system defaults to loading historical documents for the current parsing task.
How to Verify Correct Configuration
- Upload a single typical photovoltaic research report PDF, then review the parsed text content. Confirm that table structures are fully preserved.
- Upload an Excel file with multiple columns of photovoltaic data. Manually adjust chunking parameters, then verify that chunking results split data entries by row.
- Batch upload multiple photovoltaic research reports, then check the parsing task list. Confirm that only currently uploaded documents are included in the parsing scope.
- Run a retrieval test by entering professional photovoltaic industry terms. Confirm that returned results include exact data and context from the corresponding research reports.
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.