What the data for this use case looks like
This use case addresses photovoltaic-related marketing content and customer acquisition requirements within the finance sector. Data sources include internal enterprise product specification documents, power station project archives, industry policy documents, and marketing material libraries. Update frequency varies based on new product launches, industry policy adjustments, and marketing campaign updates, with no fixed schedule. Most documents contain product parameter modules, project case modules, policy interpretation modules, and marketing script modules. Fields include product model, installed capacity, component parameters, project launch date, and similar items. Units primarily use power-related metrics such as kilowatt-peak and watt.
Constraints on knowledge base retrieval and recall from these characteristics
Photovoltaic marketing data includes a large volume of structured parameters and long-text project cases. Retrieval must support both structured field matching and semantic text matching to avoid missing precise parameter results. Long document splitting must preserve complete project context, otherwise parameter-related information will be disconnected. The flexible update schedule requires the knowledge base to support incremental synchronization, preventing delays caused by full updates. Additionally, user inquiries often focus on specific scenarios, so precise recall of content from corresponding modules is needed to avoid interference from irrelevant information.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_length | 800–1200 characters | Adapts to the long text length of photovoltaic project cases, preserves complete context for individual projects, and prevents parameter splitting disconnections |
recall_count | Top 8–10 results | Balances information richness and retrieval efficiency, matches the inquiry habits of photovoltaic users who focus on specific needs |
similarity_threshold | 0.75–0.85 | Filters low-match irrelevant content, ensures recall accuracy for photovoltaic parameter-related queries |
UPLOAD_FILE_MAX_SIZE | 200 MB | Supports uploading photovoltaic project documents with high-resolution images and detailed data, prevents large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Provides sufficient parsing time for structured parameter extraction from long documents, prevents timeout interruptions |
rerank_return_count | Top 3–5 results | Prioritizes displaying the most matching core parameters or project cases, reduces user information filtering costs |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Recall results include AI-generated recommended content not present in the knowledge base, which does not align with the precise requirements of the photovoltaic marketing scenario. Cause: The global generative recommendation switch is not disabled, and non-knowledge-base-bound generation logic is called by default.
- Phenomenon: The console returns the error code
aiproxy: 1742438308259968, indicating that the specified model is inaccessible or does not exist. Cause: Permission binding for the corresponding model is not completed on the platform configuration page, or the model name entered does not match the platform support list. - Phenomenon: Embedded images in uploaded docx documents are lost, or photovoltaic project parameter context is disconnected after long document splitting. Cause: The image embedding storage option during document parsing is not enabled, or splitting rules incompatible with long-text projects are used.
How to verify correct configuration
- Upload a photovoltaic document containing complete project cases, verify that the parsed knowledge base content has no obvious splitting disconnections and retains the complete logical structure of the project.
- Initiate an inquiry containing specific photovoltaic parameters, verify that recall results only include content included in the knowledge base, with no additional generated irrelevant content.
- Review the model binding status on the configuration page, confirm that the specified model is in an available state with no permission error prompts.
- Upload a docx document containing embedded images, verify that the parsed knowledge base content retains the associated display information of the images.
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.