What Data for This Category Looks Like
Photovoltaic-related marketing content data in the financial sector comes from three main sources: official photovoltaic product specifications, power station investment return calculation documents, and financial promotion materials. Data update rhythms fall into three categories: product parameters and calculation models update with new product launches, promotion materials adjust irregularly with marketing campaigns, and industry policy documents update on a regular basis. Document structures include three types: structured parameter tables, mixed text-image calculation explanations, and plain text financial terms. Core fields include rated power, annualized return, installed capacity, and release date, with corresponding units of Wp, %, MW, and standard date format.
What Constraints These Characteristics Impose on Model Integration and Configuration
Structured parameters account for a high proportion of photovoltaic marketing data in the financial field, including quantitative indicators related to investment returns. This requires the model integration link to support semantic indexing of structured fields to avoid loss of parameter-related information. The update rhythm varies greatly across different data types. Differentiated scheduled synchronization tasks must be configured to ensure timeliness and accuracy of financial promotion content. Documents contain mixed text-image calculation explanations. Multi-modal parsing configuration must be enabled to retain the associated semantics of text and images. Fields come with fixed units and quantitative indicators. Unit extraction and retention must be enabled in the configuration to avoid ambiguity of return parameters during subsequent retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Financial photovoltaic marketing content includes structured parameters and calculation explanations. This range retains parameter relevance while avoiding context fragmentation |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large-scale power station investment return calculation documents have lengthy content, requiring sufficient time for text parsing and vectorization preprocessing |
similarity_threshold | 0.75–0.85 | Low-relevance general photovoltaic terminology must be filtered out, retaining retrieval results strongly related to specific photovoltaic financial products or investment scenarios |
top_k | Top 6–8 results | Associated information of a single financial photovoltaic marketing content is usually concentrated in a small number of parameters and calculation cases. Excessive recall will interfere with generation effects |
sync_interval | Every 72 hours | Matches the update cycle of photovoltaic product parameters and policies. Regular synchronization covers updates for most financial promotion content |
maxContext | 4000–6000 characters | Can fully carry retrieved associated parameters and calculation information, adapting to generation requirements for long-text financial marketing content |
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 on your own samples before finalizing values.
Three Common Misconfigurations
- Phenomenon: When adding a new model channel in the SaaS version, custom protocols cannot be selected, only fixed type options are displayed. Cause: The platform's custom access permission application has not been completed, or the access information of the local model has not been submitted in the interface format required by the platform.
- Phenomenon: When using pgvector as the vector database, retrieval results cannot cover complete photovoltaic investment calculation documents. Cause: The vector dimension of pgvector is not configured to match the output dimension of the access model, resulting in some documents not being indexed correctly.
- Phenomenon: Parameter fields in parsed financial photovoltaic marketing documents lack unit information. Cause: The unit extraction configuration item during document parsing has not been enabled, or the field unit types to be retained have not been specified in the vector configuration.
How to Confirm Proper Configuration
- Upload a standard photovoltaic investment return calculation document, check if all parsed text retains parameter fields and their corresponding units.
- Initiate a test retrieval, enter the parameter keywords of a specific photovoltaic financial product, verify that the number of returned retrieval results matches the configured
top_kvalue. - After connecting the local model, initiate a test query with the same prompt, confirm that the model output logic matches that of a direct model call.
- Check the index statistics panel of the vector database, confirm that the number of indexed documents matches the number of uploaded financial photovoltaic marketing contents.
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.