What the Data for This Category Looks Like
Photovoltaic investment research data comes from multiple sources. These include brokerage industry reports, quarterly financial reports of listed companies in the photovoltaic industry chain, technical specification documents from component and inverter manufacturers, national-level energy policy documents, and operational monitoring data from distributed power stations. Update schedules vary by data type. Policy documents update in real time upon release. Listed company financial reports release quarterly. Industry reports update irregularly alongside market trends. Manufacturer technical documents update irregularly alongside product iterations. Document structures follow standard patterns. Multi-chapter narrative reports include industry chain maps, cost calculation tables, and power parameter tables. Financial reports contain standardized financial fields. Technical documents include clear parameter fields such as peak power, conversion efficiency, and operating temperature range, with corresponding physical units attached.
Constraints Imposed on Context and Token Workflows
Multi-chapter long reports and quarterly financial reports may exceed the base context window token limit per document. Splitting content or expanding the window is required to include full material. Technical documents with large structured tables may have their tables split and key parameter fields truncated if not segmented at reasonable lengths. This increases token consumption during subsequent stitching. Real-time power station monitoring data fragments used for real-time investment research analysis may increase total token usage per call. This requires the context window to support dynamic adaptation. Parameter units vary across different documents. For example, some documents use Wp while others use kWp. Without unified processing, the model may confuse parameter definitions, leading to additional token consumption for format verification and ambiguity resolution.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 163840–256000 token | Adapts to total token consumption of one long industry chain report plus three quarterly financial reports, avoids truncation of core parameters |
chunkSize | 8000–12000 characters | Adapts to photovoltaic module parameter tables with multiple rows and columns, prevents parameter breaks from table splitting, and keeps single-segment token counts within the limits of mainstream models |
recallCount | Top 3–5 entries | Balances context token usage and information coverage, avoids excessive low-relevance documents occupying the token window |
similarityThreshold | 0.75–0.85 | Filters industry documents unrelated to current investment research queries, reduces invalid token consumption |
reRankTopN | Top 2–3 entries | Retains the most relevant content after reranking recall results, further reduces total context token usage |
UPLOAD_FILE_MAX_SIZE | 1024 MB | Allows uploading complete large photovoltaic industry report collections, avoids context logic breaks from file splitting |
The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are influenced by material format, data volume, and business rules. Individual analysis is required for specific cases. Testing on one’s own samples is recommended before finalizing settings.
Three Common Misconfigurations
- Symptom: Model calls return token consumption exceeding preset values, and logs show overly high context token proportion. Cause: The
chunkSizeparameter is not adjusted. Large photovoltaic documents with tables are split into overly long segments, leading to single-segment token counts exceeding model limits and additional token consumption. - Symptom: Online model run records only show the first token time, and no complete token consumption data is displayed. Cause: The context token statistics switch is not enabled, or correct context parameters are not included in the call. This prevents the billing system from collecting complete token data.
- Symptom: Photovoltaic parameters returned by the model show mixed units, such as both Wp and kWp for peak power. Cause: Field units of recalled document fragments are not unified. Parameter fragments from different sources coexist in the context, increasing token consumption for ambiguity resolution.
How to Verify Correct Configuration
- Upload a typical photovoltaic quarterly financial report and industry chain report. Check the parsed segment details to confirm single-segment character counts fall within the preset configuration range.
- Launch a targeted investment research query. Check the context recall document list to confirm the number of entries matches the
recallCountsetting range. - Review detailed model call logs to confirm context token consumption does not exceed the
maxContextpreset limit, and no content truncation prompts appear. - Compare token consumption data from multiple identical query types to confirm the configuration effectively reduces invalid token usage.
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.